DEPARTMENT OF ELECTRONICS AND

COMPUTER SCIENCE ENGINEERING

STUDENT HAND BOOK

2017-2018

UNIVERSITY Vision To be a globally renowned university.

Mission To impart quality higher education and to undertake research and extension with emphasis on application and innovation that cater to the emerging societal needs through all-round development of students of all sections enabling them to be globally competitive and socially responsible citizens with intrinsic values.

DEPARTMENT VISION To promote innovation centric education and perform cutting edge research in interdisciplinary and

multidisciplinary areas. MISSION To impart value-based, state-of-art education and motivate the students to become socially committed professionals for overall development of students M1: Impart Value –Based Education M2: Impart State of the art –education M3: Motivate Students to become Socially Committed Professionals M4: Overall Development of Students PROGRAM EDUCATIONAL OBJECTIVES (PEOS) : PEO1: Practice engineering in a broad range of industrial, societal and real world applications. PEO2: Pursue advanced education, research and development, and other creative and innovative efforts in science, engineering, and technology, as well as other professional careers. PEO3: Conduct themselves in a responsible, professional, and ethical manner. PEO4: Participate as leaders in their fields of expertise and in activities that support service and economic development throughout the world. PEO’S Vs MISSION STATEMENT MAPPING

M1 M2 M3 M4

PEO1 √ √ √

PEO2 √ √

PEO3 √ √

PEO4 √ √

PROGRAM OUTCOMES(PO’s)

PO No Description

PO1 An ability to apply knowledge of mathematics, science, engineering fundamentals and an engineering specialization for the solution of complex engineering problems in Electronics and Computer Science Engineering

PO2 An ability to identify, formulate, research literature, analyze complex engineering problems in Electronics and Computer Science Engineering using first principles of mathematics, natural sciences and engineering sciences

PO3 An ability to design solutions for complex engineering problems and system component or processes that meet the specified needs considering public health & safety and cultural, societal & environment

PO No Description

PO4

An ability to use research-based knowledge and research methods including design of experiments, analysis and interpretation of data and synthesis of the information to obtain solutions to Electronics and Computer Science Engineering problems

PO5 Ability to create, select and apply appropriate techniques, resources and modern engineering activities, with an understanding of the limitations

PO 6 Ability to apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice

PO7 Ability to demonstrate the knowledge of engineering solutions, contemporary issues understanding their impacts on societal and environmental contexts, leading towards sustainable development

PO8 An ability to apply ethical principles and commit to professional ethics and responsibilities and norms of engineering practice

PO9 An ability to function effectively as an individual, and as a member or leader in diverse teams and in multi-disciplinary settings

PO10 Ability to communicate effectively oral, written reports and graphical forms on complex engineering activities

PO11 Ability to demonstrate knowledge and understanding of the engineering and management principles and apply those one’s own work, as a member and leader in team, to manage projects and in multi-disciplinary environments

PO12 An ability to recognize the need for and having the preparation and ability to engage independent and life-long learning in broadest context of technological change

PROGRAM SPECIFIC OUTCOMES(PSO’s)

PSO1 An ability to solve Electronics Engineering problems, using latest hardware and software tools, to arrive cost effective and appropriate solutions in the domain of embedded systems and Internet of Things.

PSO2 An ability to demonstrate basic knowledge of Web Technologies for development of web based applications along with knowledge and skill related to cyber security.

MAPPING OF PEO’s WITH PROGRAM OUTCOMES (PO’S) & PROGRAM SPECIFIC OUTCOMES (PSO’S)

PEO1 PEO2 PEO3 PEO4

PO1 √ √

PO2 √ √

PO3 √ √

PO4 √ √

PO5 √ √

PO6 √ √ √

PO7 √ √

PO8 √

PO9 √

PO10 √ √

COURSE VS POs & PSOs MAPPING

C

O

U

RS

E

C

O

D

E

COURSE

NAME

L-

T-

P

CR

ED

IT

S CO

NO

Description of

the Course

Outcome

P

O

1

P

O

2

P

O

3

P

O

4

P

O

5

P

O

6

P

O

7

P

O

8

P

O

9

P

O

1

0

P

O

1

1

P

O

1

2

P

S

O

1

P

S

O

2

17 EN 1201

BUILDI

NG

BLOCK

S FOR

COMM

UNICAT

ION

SKILLS

CO1

Improve

pronunciation

skills and

understand the

method of

identifying

antonyms. 2

CO2

Apply writing

strategies for

office/ formal

communication 2

CO3

Analyze types of

reading

techniques and

improve reading

speed. 2

CO4

Analyze

different cultures

and the

importance of

empathy in

cross-cultural

communication. 2

17EM2103

COMPU

TER

ORGAN

IZATIO

N

2-2-2

4

CO1

Understand the

logical gates to

construct

combinational &

sequential

circuits to

perform

Arithmetic µ- 1 1

PO11 √

PO12 √ √

PSO1 √ √ √ √

PSO2 √ √ √ √

Operations.

CO2

Write Micro

Programs for

design of

Control Unit 1 1

CO3

Analyze

operations like

Multiplication,

Floating Point

algorithms 2 2

CO4

Understand the

Peripherals, I/O

interface and

Direct Memory

Access 1 1

CO5

Examine the

functional

verification of the

digital circuits on

Logisim 3 3 3

17EM2207

ELECT

RONIC

DEVICE

S AND

CIRCUI

TS

2-2-2

4

CO1

Analyze the

concepts of

various diodes and

their applications. 2

CO2

Analyze BJT

concepts as

operation, biasing

and frequency

response 2

CO3

Analyze FET

concepts as

operation, biasing

and frequency

response 2

CO4

Analyze the usage

of Power

Amplifiers 2

CO5

Develop

applications

involving the

usage of

Diodes,BJT,FET

and power

amplifiers 3

17E

LINEAR 2-2-2

4 CO1

Analyze the

concepts of 2

M3108

INTEGR

ATED

CIRCUI

T

ANALY

SIS

operational

amplifiers and

their applications

CO2

Analyze the

concepts of

various active

filters and their

applications 2

CO3

Analyze the

concepts of

various Feedback

amplifiers and

their applications 2

CO4

Analyze the

concepts of

various data

converters and

their applications 2

CO5

Develop

applications

involving the

usage of

opamps,filters,fee

dback amplifiers

and data

converters 3

17EM2204

PROCES

SORS

AND

CONTR

OLLERS

2-2-2

4

CO1

Able to

understand and

analyze the

architectural

features of CISC

type of General

purpose

processor Intel

8086

Microprocessor. 1 1

CO2

Able to

understand and

analyze the

architectural

features of CISC

type of

microcontroller -

Intel 8051

Microcontroller. 2 2

CO3

Able to program

8086

microprocessor, 2 2

8051

microcontrollers

in assembly

language using

TASM, KEIL,

MPLAB and

Proteus tools

CO4

Able to

Understand and

analyze the

architectural

features of

Atmega

processor. 2 2

CO5

Able to Develop

a real time

application using

8051 &Atmega

processors

through project

based labs. 3 3 3

17EM3106

EMBED

DED

SYSTE

MS

DESIGN

2-2-2

4

CO1

Able to analyze

embedded

systems and

program on chip

peripherals for a

single purpose

controller 2 2

CO2

Able to interface

and program

different off chip

peripherals and

communication

protocols used in

embedded

systems 2 2

CO3

Able to

understand,

evaluate and

select

appropriate

software

architectures 3 3

CO4

Able to analyze

and design

embedded 2 2

systems using

the features in

real time

operating

systems.

CO5

Able to develop

a prototype for a

real time

embedded

application using

project based

labs. 3 3 3

17EM3205

FPGA

BASED

SYSTE

M

DESIGN

2-2-2

4

CO1

Understand the

basic concepts of

Verilog

programming 1

CO2

Understand the

Combinational

& sequential

logic circuits and

analyze them

through test

benches using

Verilog HDL 2

CO3

Understand

FPGA based

embedded

processors

architectures 1

CO4

Understand

signal

conditioning and

serial

communication

protocols 1

CO5

Analyze the

digital modules

through project

oriented

approach 2

17EM4109

FUNDA

MENTA

LS OF

COMM

UNICAT

ION

2-2-2

4 CO1

Understand the

basics of Amplitude

modulation 1 1

CO2

Demonstrate the

AM and FM

transmitter and

Receiver circuit 1 1

SYSTE

MS

CO3

Demonstration

of PCM 1 1

CO4

Discuss about

different types of

Keying

Techniques in

Digital

modulation 1 1

CO5

Verification of

Analog nd Digit

al modulations 2 2

17 CS 2008

SOFTW

ARE

ENGINE

ERING

3-1-0

4

CO1

Identify software

evolution and

software

development life

cycle with

associated

process models

by emphasizing

agile

methodology

including

modeling core

principles 2

CO2

Demonstrate the

concepts of

requirement

modeling

carrying out the

analysis and

basic design

model with a

case study 2 2 2

CO3

Classify

Software

Architecture,

Software design

and Demonstrate

User Interface

for an

application

using golden

rules of HCI 2 2

CO4

Evaluate testing

strategies and

software quality 3

assurance for a

given case study.

17 CS 2210

DATAB

ASE

MANAG

EMENT

SYSTE

M

2-2-2

4

CO1

Illustrate the

functional

components of

the DBMS,

importance of

modeling in

design of a

database 1

CO2

Build queries

using SQL and

concepts of

relational

algebra 2 2

CO3

Apply

normalization

techniques and

indexing to

construct and

access decent

database 2

CO4

Understand

importance of

transaction

processing and

concurrency

control 1

CO5

Create a good

database and

develop SQL

queries for data

analysis 3 3 3

17 CS 2211

DESIGN

AND

ANALY

SIS OF

ALGORI

THMS

2-2-2

4

CO1

Understand time

and space

complexity,

analyze

complexity for

problems

solvable by

divide and

conquer

technique 1

CO2

Apply greedy

and dynamic

algorithm design 2

methodologies to

solve problems.

CO3

Apply state

space tree

methods for

solving

searching

problems. 2

CO4

Distinguish

between P and

NP classes of

problems and

solve complex

problems 2

CO5

Apply algorithm

design

techniques to

solve any real

world problems 3 3

17 CS 3113

OPERA

TING

SYSTE

MS

2-2-2

4

CO1

Explain

Operating

System Concepts

and Evaluation

of Operating

Systems 1 1

CO2

Illustrate a

process,

synchronization

of process and

IPC.

Implement algorithms for

Deadlocks using

Banker’s

Algorithm 2

CO3

Demonstrate

paging

techniques and

Implement

Virtual Memory

using Page

Replacement

Algorithms 2

CO4

Implement the

File management

process in OS 2

CO5

Develop

Application

Programs using

UNIX System

Calls (Lab

Component) 3 3

17 CS 3114

COMPU

TER

NETWO

RKS

3-0-2

4

CO1

Understand the basics of networking and function of physical Layer 1

CO2

Understand the functions of Data Link Layer and apply the principles into program practice. 1 1

CO3

Understand the functions of Network layer and use routing algorithms into program practice. 1 1

CO4

Apply the Transport and application layer principles into programming. 2

CO5

Experiment with Networking programs 3

17EM3110

INTERN

ET

PROGR

AMMIN

G

2-2-2

4

CO1

Able to create

Static Web

pages using

basic HTML &

apply CSS 3 3

CO2

Able to apply

javascript

features for form

validations and

event handling 2 2

CO3

Able to create

databases using

MYSQL and

apply JDBC

concepts to

connect to

a database. 3 3

CO4

Able to create

dynamic web

pages using

servlets & JSP 3 3

CO5

Must be able to

design WEB site

considering the

user interface,

navigation and

interaction with

database using

project based

LABS 3 3 3

17EM3211

AUTOM

ATA

AND

COMPI

LER

DESIGN

2-2-2

4

CO1

Able to analyze

formal

languages,

Grammars and

finite automata 2 2

CO2

Able to analyze

the grammar

based on top

down and

bottom up

parser. 2 2

CO3

Able to

understand SDT

and generate

intermediate

code 1 1

CO4

Able to apply

code

optimization

techniques 2 2

CO5

Able to Analyze

various phases

of compiler

through project

based labs 2 2

17EM3112

NETWO

RK

SECURI

TY

2-2-2

4

CO1

Apply Symmetric

key cryptography

techniques to

encrypt and

decrypt data 2

CO2

Apply public key

cryptography

techniques to

encrypt and

decrypt data 2

CO3

Apply Hash

Function and

Digital Signature

to authenticate the

data 2

CO4

Understand basic

network and

system level

security concepts 1

CO5

Develop

applications

involving

protection of data

using symmetric

key,public key

,MAC and Digital

signature

techniques. 3 3 3

17 EM 3251

ADVANCE

D

EMBEDDE

D

PROCESSO

R

ARCHITEC

TURES

3-0-0

3

CO1

Able to

understand and

analyze the 3

and 5 stage

pipelines of

ARM and able to

program the

ARM processor. 1 1 1

CO2

Able to program

the on chip & off

chip peripherals

of ARM 7

controller. 2 2 2

CO3

Understand and

analyze the

AMBA bus

architecture and

different

advanced ARM

cores. 2 2 2

CO4

Able to analyze

the different

SOC

applications

using ARM

cores. 2 2 2

17 EM 4154

EMBED

DED

LINUX

3-0-0

3

CO1

Able to

understand

embedded Linux

development

environment,

understand and

create Linux

BSP for a

hardware

platform. 1 1 1

CO2

Able to program

different

embedded

storage devices 2 2 2

CO3

Able to

understand the

Linux model for

embedded

storage,

understand and

write various

embedded Linux

drivers such as

serial, I2C, and

so on. 2 2 2

CO4

Able to port

applications to

embedded Linux

and write real –

time applications

in embedded

Linux. 3 3 3

17 EM 4155

NETWO

RKING

OF

EMBED

DED

SYSTE

MS

3-0-0

3

CO1

Able to

understand and

develop

applications

using Rs-232C,

RS-485 and SPI

communication

protocols. 1 1 1

CO2

Able to

understand and

develop

applications

using I2C, USB

communication

protocols. 1 1 1

CO3

Able to

understand and

develop

applications

using CAN

communication

protocols 1 1 1

CO4

Able to

understand and

analyze different

wireless

communication

protocols used in

Embedded

Systems. 2 2 2

17 EM 4156

SYSTE

M ON

CHIP

ARCHIT

ECTUR

ES

3-0-0

3

CO1

Able to

understand and

analyze different

Design and

Validation

methodologies

for logic cores

such as

memories,

analog devices

and SoCs. 2 2 2

CO2

Able to

understand On

chip

Communication

Architecture

Standards 1 1 1

CO3

Able to analyze

security issues of

On chip

Communication

Architecture

standards 2 2 2

CO4

Able to

understand and

analyze different

topologies of

Networks on

Chip. 2 2 2

17 EM 4157

HARDW

ARE

SOFTW

ARE

CO-

DESIGN

CO1

Understand and

Analyze the co-

design models

like FSM, DFG

and target

architectures and

use the tools

required for

designing the

hardware and

software models 2 2 2

3-0-0

3

CO2

Analyze

Validation and

Verification

Techniques,

design

specification for

embedded

processor

architectures 2 2 2

CO3

Analyze the

compilation

techniques and

tools for

embedded

processor

architectures 2 2 2

CO4

Understand the

standard design

methods like

COSYMA

system and

LYCOS

systems. 1 1 1

17 EM 3252

SENSOR

S AND

SENSIN

G

PRINCI

PLES

3-0-0

3

CO1

Able to

understand and

analyze the

sensor

fundamentals,

principles and 1 1

characteristics

CO2

Understand the

application of

various physical

and Chemical

sensors 1 1

CO3

Understand the

application of

various optical

sensors 1 1

CO4

Able to

understand the

different bio

sensors and its

limitations. 1 1

17 EM 4158

WIREL

ESS

COMM

UNICAT

IONS &

NETWO

RKS

3-0-0

3

CO1

Able to

understand

Transmission

fundamentals

and

communications

networks and

application

protocol

architecture 1 1

CO2

Able to

understand and

analyze signal

encoding

techniques,

spectrum and

different

wireless

networks 1 1

CO3

Able to

understand and

analyze various

principles of

cellular wireless

networks 1 1

CO4

Able to

understand

wireless

protocols and

applications of 1 1

IEEE802.11

architecture and

standards

17 EM 4159

WIREL

ESS

SENSOR

NETWO

RKS.

3-0-0

3

CO1

Able to

understand

Cellular and

adhoc networks

in detail 1 1

CO2

Able to

understand

wireless sensor

networks data

communications

to other

networks which

involves its

design and

principles 1 1

CO3

Able to

understand

various MAC

protocols for

sensor networks 1 1

CO4

Able to

understand and

analyze various

routing

techniques of

wsn and ad hoc

networks 1 1

17 EM 4160

SENSOR

NETWO

RKS

PROGR

AMMIN

G

3-0-0

3

CO1

Able to

understand

fundamentals of

TinyOS and

nesC in wsn

environment. 1 1

CO2

Able to

understand real

world

programming of

wireless sensor

network in

different

scenarios. 1 1

CO3

Able to

understand the 1 1

performance

analysis of

power-aware

algorithms

CO4

Able to

understand and

develop energy

efficient

algorithms for

wireless sensor

networks thru

simulation or

real time

experiments 1 1

17 EM 4161

REMOT

E

SENSIN

G

3-0-0

3

CO1

Able to

understand

relations of

remote sensing

with atmosphere

and earth 1 1

CO2

Able to

understand and

remote sensing

platforms and

sensors for data

analysis and

interpretation 1 1

CO3

Understand the

basic

components of

GIS 1 1

CO4

Understand data

storage and

analysis of GIS

data. 1 1

17 EM 3253

WEB

SERVIC

ES

3-0-0

3

CO1

Must be hands-

on in developing

two tier/ three

tier WEB based

applications

using APACHE

and NETBEANS

as the Platform 1 1

CO2

Must have

theoretical

knowledge of all 1 1

the programming

languages, WEB

services related

technologies and

API as detailed

in the syllabus

CO3

Able to

understand

fundamentals of

SOAP,WSDL &

UDDI 1 1

CO4

Must be able to

design, develop,

register, deploy

WEB Services

and develop a

real life

application

considering

WEB services

server and UDDI

registry 2 2

17 EM 4162

WEB

SEMAN

TICS

3-0-0

3

CO1

Must Acquire

theoretical

knowledge

related to WEB

semantics,

ontology

learning and

languages that

can be used for

the development

of WEB

semantics 1 1

CO2

Must be

knowledgeable

using tools to

develop web

semantics for

various real life

applications 1 1

CO3

Able to

understand

ontology

Management &

learning for 1 1

semantic web

CO4

Must develop a

real life

application that

require use of

WEB semantics 2 2

17EM4163

ENTERP

RISE

PROGR

AMMIN

G

3-0-0

3

CO1

Must acquire

theoretical

knowledge

related to

enterprise

architectures,

development

platforms,

Application

servers, EJB

components,

EJB query

language. 1 1

CO2

Must be hands-

on developing

EJB components

using

NETBEANS and

deploy the

components

using JBOSS 1 1

CO3

Able to

understand EJB

QL & develop

sample

applications 1 1

CO4

Must develop

real life

Enterprise wide

application

based on EJB

and JBOSS and

SQL server as

DBMS engine 3 3

17 EM 4164

CLOUD

BASED

WEB

DEVEL

OPMEN

3-0-0

3

CO1

Must acquire

theoretical

knowledge

related to WEB

Applications, 1 1

T Cloud

computing and

deploying WEB

applications on

the cloud

CO2

Must be hands-

on developing

WEB

Applications

using Google

APP / Open

ERA 1 1

CO3

Able to

understand basic

cloud based

application

development

environment 1 1

CO4

Must be able to

develop real life

cloud based

applications

through Google

APP / Open

ERA 3 3

17EM 4165

WEB

ANALY

TICS

3-0-0

3

CO1

Must acquire

theoretical

knowledge

related to WEB

Analytics,

processing

clicked streams,

metrics for WEB

analytics 1 1

CO2

Must be hands-

on developing

WEB Analytics

using NINJA 1 1

CO3

Able to

understand

basics of

analytics related

to social,mobile

& video. 1 1

CO4

Must be able to

develop 2 2

applications that

require WEB

analytics

17EM4168

WIREL

ESS

TECHN

OLOGIE

S FOR

IOT

3-0-0

3

CO1

Remember and

understand Radio

Frequency (RF)

Fundamentals 1 1

CO2

Illustrate the various

cellular standards 1 1

CO3

Understand the

different wireless

technologies 1 1

CO4

Understand the

basics of embedded

wireless application

development. 1 1

17EM4169

IOT

APPLIC

ATION

DEVEL

OPMEN

T

THROU

GH

PYTHO

N

3-0-0

3

CO1

Understand the

vision of IoT

from a global

context. 1 1

CO2

Understanding

of Python

Language and

development

boards. 1 1

CO3

Understanding

and Building the

application for

IoT using

Python. 1 1

CO4

Use of Devices,

Gateways and

cloud

management in

IoT. 2 2

17 EM 4159

WIREL

ESS

SENSOR

NETWO

RKS

3-0-0

3

CO1

Able to

understand

Cellular and

adhoc networks

in detail 1 1

CO2

Able to

understand

wireless sensor

networks data

communications

to other

networks which

involves its 1 1

design and

principles

CO3

Able to

understand

various MAC

protocols for

sensor networks 1 1

CO4

Able to

understand and

analyze various

routing

techniques of

wsn and ad hoc

networks 1 1

17 EM 3252

SENSOR

S AND

SENSIN

G

PRINCI

PLES

3-0-0

3

CO1

Able to

understand and

analyze the

sensor

fundamentals,

principles and

characteristics 2 2

CO2

Understand the

application of

various physical

and Chemical

sensors 1 1

CO3

Understand the

application of

various optical

sensors 1 1

CO4

Able to

understand the

different bio

sensors and its

limitations. 1 1

17 EM 3254

FUNDA

MENTA

LS OF

IOT

3-0-0

3

CO1

Understand the

basic concepts of

IOTs & some

related issues of

IOTs 1 1

CO2

Understand the

Issues of Security,

standards and

Protocol

Convergences with

IOTs & Vision 1 1

over M2M Vs.

IOTs

CO3

Understand the

Architectural

overview, Reference

Models based

Architecture of

IOTs 1 1

CO4

Analyze the IOT

Smart Applications

and Cloud support

for IOT 2 2

17EM3255

FUNDA

MENTA

LS OF

CYBER

SECURI

TY

3-0-0

3

CO1

Understand the

need for cyber

security and

analyze the risk

involved 1 1

CO2

Analyze various

types of security

threats and

electronic payment

systems 2 2

CO3

Analyze the security

issues involved in

developing secure

information systems 2 2

CO4

Analyze the security

policies standards

and cyber laws 2 2

17EM4170

MOBIL

E AND

WIREL

ESS

SECURI

TY

3-0-0

3

CO1

Analyze the

Security and

Privacy aspects

of Mobile and

Wireless

Networks 2 2

CO2

Understand the

mobile system

architectures and

related security

issues 1 1

CO3

Analyze the security

issues in wireless

networks 2 2

CO4

Analyze RFID

security and privacy

issues 2 2

17EM4173

EMBED

DED

SECURI

TY

3-0-0

3

CO1

Analyze the

building blocks of

embedded security

applications 2 2

CO2

Analyze the security

requirements

,attacks and privacy

solutions of 2 2

embedded systems

CO3

Analyze the

hardware based

content protection

mechanisms 2 2

CO4

Analyze the basic

utilities of

embedded security 2 2

17EM4171

COMPU

TER

FORENS

ICS

3-0-0

3

CO1

Understand the

principles and

methodologies of

digital forensics 1 1

CO2

Analyze the

techniques

involveved in data

acquisitions and

duplication 2 2

CO3

Analyze the

vulnerabilities in

routers 2 2

CO4

Understand the

basics of forensics

acquisistion 1 1

17EM4172

RISK

MANAG

EMENT

AND

SECURI

TY

AUDIT

3-0-0

3

CO1

Understand the

importance of

information security

risk assessment and

data collection

mechanisms 1 1

CO2

Compile the risk

score base don

observations 1 1

CO3

Analzye the risk

priority and its

consequences 2 2

CO4

Perform Audit and

follow up activities 2 2

17 EM 30B2

E-

COMME

RCE

3-0-0

3

CO1

Analyze various

E-Commerce

Business Models

and

Infrastructure 2

CO2

Understand the

Ethical, Social

and Political

issues in E-

Commerce 1

CO3

Analyze

Marketing

communications

and Internet 2

resources for E-

Commerce

CO4

Analyze the

internet

applications for

commerce 2

17EM30B1

INTERN

ET OF

THINGS

3-0-0

3 CO1

Understand the

paradigm shift from

M2M to IOT 1

CO2

Understand the

fundamentals of

IOT Technology 1

CO3

Understand the

architecture of IOT 1

CO4

Understand the

reference

architecture of IOT 1

17 EN 1201

BUILDIN

G

BLOCKS

FOR

COMMU

NICATIO

N

SKILLS

0-0-4

2

CO1

Improve

pronunciation

skills and

understand the

method of

identifying

antonyms. 2

CO2

Apply writing

strategies for

office/ formal

communication 2

CO3

Analyze types of

reading

techniques and

improve reading

speed. 2

CO4

Analyze

different cultures

and the

importance of

empathy in

cross-cultural

communication. 2

17 EN 3102

INSTAN

T

COMM

UNICAT

ION

SKILLS

0-0-4

2

CO1

Analyse the

concept of

Group

Discussion and

speak effectively

during the

discussion. 2

CO2

Apply and

analyze various

concepts of

writing strategies

in professional

communication

skills like,

reports,

proposals and

minutes of the

meeting. 2

CO3

Analyse

vocabulary and

apply the types

of reasoning in

comprehending

the information. 2

CO4

Apply the

mechanics and

application of

presentation

skills and apply

people skills in

various social

organizational

and corporate

ambiences. 2

17 EN 3203

CORPO

RATE

COMM

UNICAT

ION

SKILLS

0-0-4

2

CO1

Analyse the

method of

identifying

synonyms and

antonyms and

analyze the

meaning of a

word from the

context. 2

CO2

Analyze various

strategies

involved in

writing an essay

and apply

various styles in

writing. 2

CO3

Analyse the

organization of

the passage and 2

also analyze the

tone, attitude and

style of the

author.

CO4

Acquire

knowledge on

various

employability

skills & analyze

a situation and

develop

adaptability. 2

17 GN 1001

ECOLO

GY AND

ENVIRO

NMENT

2-0-0

2

CO1

Understand the

importance of

Environmental

education and

conservation of

natural

resources. 1

CO2

Understand the

importance of

ecosystems and

biodiversity. 1

CO3

Apply the

environmental

science

knowledge on

solid waste

management,

disaster

management and

EIA process. 2

17 GN 1002

HUMAN

VALUES

2-0-0

2

CO1

Understand and

identify the basic

aspiration of

human beings 1

CO2

Envisage the

roadmap to

fulfill the basic

aspiration of

human beings. 2

CO3

Analyze the

profession and

his role in this

existence. 2

17 MT

1101

SINGLE

VARIAB

LE

CALCU

LUS

AND

MATRI

X

ALGEB

RA

CO1

Model the

physical laws

and relations

mathematically

as a first order

differential

equations, solve

by analytical and

numerical

methods also

interpret the

solution. 1

3-0-2

4

CO2

Model physical

laws and

relations

mathematically

as a

second/higher

order differential

equation, solve

by analytical

method and

interpret the

solution. 1

CO3

Obtain the

Fourier series

expansions of

periodic

functions and

use the series to

solve ordinary

differential

equations. 1

CO4

Model physical

problems

mathematically

as a system of

linear equations

and solve them

by analytical and

numerical

methods. Also,

determine the

nature of

Quadratic form

using Eigen 1

values.

CO5

Verify the

solution of

problems

through

MATLAB. 1

17 MT

1102

FOUND

ATIONS

OF

COMPU

TATION

AL

MATHE

MATICS

3-0-2

4

CO1

Evaluate

mathematical

expressions by

using different

types of

operations on

numbers. 2

CO2

Simplify

expressions and

solve equations

& inequations. 2

CO3

Apply different

types of

arithmetic

expressions to

solve given

problems. 2

CO4

Apply methods

to find areas ,

volumes and use

graphs to reduce

non-linear to

linear forms. 2

17 MT

1203

MULTI

VARIAT

E

CALCU

LUS

3-0-2

4

CO1

Determine

extreme values

for functions of

several variables 2

CO2

Determine area,

volume moment

of inertia

through multiple

integrals in

Cartesian or

polar co

ordinates. 2

CO3

Apply the

concepts of

vector calculus

to calculate the

gradient,

directional

derivative, arc

length , areas of

surfaces and

volume of solids

in practical

problems 2

CO4

Obtain analytical

and numerical

solutions of Heat

and wave

equations 2

CO5

Verify the

solution of

problems

through

MATLAB 2

17 CY 1001

ENGINE

ERING

CHEMIS

TRY

3-0-2

4

CO1

Predict potential

complications

from combining

various

chemicals or

metals in an

engineering

setting 2 2

CO2

Discuss

fundamental

aspects of

electrochemistry

and materials

science relevant

to corrosion

phenomena 2 2

CO3

Examine water

quality and

select

appropriate

purification

technique for

intended

problem 2 2

CO4

Apply polymers,

conducting

polymers ,green

chemistry and

nano chemistry

to engineering

processes 2

CO5

An ability to

analyze &

generate

experimental

skills 2 2

17 PH 1001

ENGINE

ERING

MATER

IALS

3-0-2

4

CO1

Understands

structure of

crystalline

solids, kinds of

crystal

imperfections

and appreciates

structure-

property

relationship in

crystals. 1

CO2

Understands

magnetic

properties of

materials and

identifies their

role in

classification

soft & hard

magnetic

materials having

specific

engineering

applications. 1

CO3

Understands

thermal and

mechanical

properties of

materials, heat

treatment

methods for

changing the

microstructure of

materials and 1

responses of

materials

subjected to

load.

CO4

Understands the

role of electronic

energy band

structures of

solids in

governing

various electrical

and optical

properties of

materials. 1

CO5

Apply the

knowledge on

structure and

properties of

materials while

executing

experiments and

develop inter

disciplinary

projects. 2

17

M

T2

00

6

PROBA

BILITY

AND

STOCH

ASTIC

MODEL

S

2-2-2

4

CO1

Construct the

probability

distribution of a

random variable,

based on a real-

world situation,

and use it to

compute

expectation and

variance 2

CO2

Predict the

relationship

between two

variables and

construct the

linear and non-

linear regression

lines for the

given data 2

CO3

Model the Single

and multi server

markovian 2

queuing models

with finite and

infinite capacity.

CO4

Verify and

validate the

simulation

models. 2

CO5

Verify the

solution of

problems

through

MATLAB/MINI

TAB. 2

17 MT

1204

LOGIC

AND

REASO

NING

2-0-0

2

CO1

Apply the

fundamental

principle of

counting and use

them to measure

the uncertainty

in random

experiments. 2

CO2

Apply Venn

diagrams to find

the conclusion of

statements ,

solve puzzles

using binary

logic and

problems

relating to cubes. 2

CO3

Apply the

available models

for Data

sufficiency &

redundancy and

interpret it ,

when given, in

tabular and

graphical forms. 2

CO4

Apply the

Reasoning

techniques to

solve problems

on

arrangements,

series, analogies, 2

coding and

decoding.

17EM1101

INTROD

UCTION

TO

ELECT

RONICS

AND

COMPU

TER

SCIENC

E

ENGINE

ERING

3-0-2

4

CO1

Discuss the

various

applications of

electronics in

everyday lives

and Understand

the working of

basic electronic

components 1

CO2

Understand the

usage of diodes,

LED,LCD

,Sensors in

design of

electronic

applications. 1 1

CO3

Understand the

applications of

computers in day

to day life and

various software

packages 1 1

CO4

Understand the

basics of

computer

networks

,internet and

design web

pages using

HTML 1 1

CO5

Implement the

Basic

Components,

Sensors and

Communication

Modules using

Arduino and

Apply various

Software

packages to

solve real world

problem 2 2

17CS

PROBL

EM

2-4-2

5 CO1

Understanding

the various steps 1

1101

SOLVIN

G AND

COMPU

TER

PROGR

AMMIN

G

in problem

solving, Use C-

programming

control

statements and

loops.

CO2

Apply suitable

searching and

sorting

techniques to

solve various

problems 2 2

CO3

Apply stack and

Queue

datastructures to

solve real world

problems 2 2

CO4

Apply linked

List and tree data

structures to

solve real world

problems 2

CO5

Practice all the

programs based

on searching ,

sorting stack,

Queue, list and

tree 2

17CS1102

DATA

STRUCT

URES

2-4-2

5

CO1

Apply Array,

Structure, Queue

and Priority

Queue concepts

for solving

problems 2 2

CO2

Use linked lists

and apply stacks

and queue’s in

different

applications 2 2

CO3

Apply advanced

search

techniques,

Trees, Binary

trees, Expression

Trees and Binary

Search Trees for 2 2

solving problems

CO4

Use RedBlack

Tree, for solving

problems and

apply advanced

search

techniques like

Hashing,

Rehashing and

Extendible

hashing to solve

real world

problems 2 2

CO5

Practice the

programs on

Queue, Stack,

Tree, and

Hashing. 2 2

17 GN 1003

BASIC

ENGINE

ERING

MEASU

REMEN

TS

2-0-2

3

CO1

Understand the

Basic

fundamentals of

a measurement

system. 1

CO2

Understand

various

Mechanical

measuring

parameters, and

apply different

measuring

techniques on

various

mechanical

parameters using

simulation and

experimentation

tools. 1 1

CO3

Understand

various

Electrical

measuring

parameters, and

apply different

measuring 1 1

techniques on

various

Electrical

parameters using

simulation and

experimentation

tools.

CO4

Understand

various

Electronic

measuring

parameters, and

apply different

measuring

techniques on

various

Electronic

parameters using

simulation and

experimentation

tools. 1 1

CO5

Apply the

theoretical

concepts to

measure

different

parameters. 1

17

M

E

10

01

ENGINE

ERING

MECHA

NICS

3-0-2

4

CO1

Understand the

concept of forces

and apply the

static

equilibrium

equations. 2 2

CO2

Analyze co-

planar and non

co-planar system

of forces. 2 2

CO3

Apply the

concept of

centroid &

centre of gravity

to determine

moment of

inertia. 2 2

CO4

Analyze the

rigid bodies 2

under translation

and rotation with

and without

considering

forces.

CO5

Understand and

analyze the

engineering

systems with the

help of

mechanics

concept to solve

the engineering

problems. 2

17

M

E

10

02

ENGINE

ERING

GRAPHI

CS

1-0-4

3

CO1

Understand the

principles of

drawing and use

of drafting

instruments 2 2 2

CO2

Draw

engineering

curves and

scales. 2 2 2

CO3

Draw the

projections of

points, lines,

planes and solids 2 2 2

CO4

Draw the surface

sheath of solids

by development

of surfaces and

the sections of

Solids. 2 2 2

CO5

Prepare 2D &

3D drawings of

solids and their

transformations. 2 2 2

17

M

E

10

03

WORKS

HOP

PRACTI

CE

0-0-2

1

CO1

prepare the

different joints

using carpentary

trade by using

wood as raw

material 2

CO2

prepare the

different fits

using fitting 2

trade with Ms

plates as raw

material

CO3

prepare the

different

components

using Tinsmithy

trade by using

GI sheet as raw

material 2

CO4

Apply basic

electrical

engineering

knowledge for

house wiring

practice. 2

17EM2102

SIGNAL

S AND

SYSTE

MS

2-2-2

4

CO1

Understand the

representation,

manipulation and

operations of

discrete Time

Signals and

Systems and

illustration of

sampling theorem. 1

CO2

Understand the

Convolution and

frequency domain

representation of

Z- Transforms and

its application to

LTI systems 1

CO3

Analyze Discrete

Time signals in

Fourier and fast

Fourier transforms 2

CO4

Realization of

Digital Filters:

IIR and FIR 2

CO5

Apply and

evaluate Signals

and systems

concept to various

applications under

time domain and

transform domain 3

17 CS

OBJECT

ORIENT

2-2-2

4 CO1

Understand

Basic Concepts 2

2004

ED

PROGR

AMMIN

G

of OOP,

introduction to

classes and

objects through

Java Language

and apply.

CO2

Understand the

concepts of

constructors,

Overloading,

parameter

passing, access

control,

Inheritance and

apply. 2

CO3

Understand

Packages,

Interfaces, and

Exception

Handling and

apply. 2

CO4

Understand I/O

Streams & apply

and understand

Basic Concepts

of Multi –

Threading 3

CO5

Apply OOP

concepts for

developing an

application 3 3

17 CS 2005

DISCRE

TE

MATHE

MATICS

3-1-0

4

CO1

Understand sets,

relations,

functions and

discrete

structures ,

Count discrete

event

occurrences 2

CO2

Apply

Propositional

logic and First

order logic to

solve problems 2

CO3

Formulate and

solve recurrence 2

relations, apply

algebraic

structures and

lattices.

CO4

To identify the

basic properties

of graphs and

trees and model

simple

applications 2

SYLLABUS

HUMANITIES AND SOCIAL SCIENCES

BUILDING BLOCKS FOR COMMUNICATION SKILLS

Course code: 17 EN 1201 L-T-P: 0-0-4

Pre Requisite: NIL Credits: 2

Mapping of Course Outcomes (CO) to Student outcomes:

CO

No: CO PO BTL

1 Improve pronunciation skills and understand the method of identifying

antonyms. 10

3

2 Apply writing strategies for office/ formal communication 10 3

3 Analyze types of reading techniques and improve reading speed. 10 4

4 Analyze different cultures and the importance of empathy in cross-cultural

communication. 8

4

SYLLABUS

Listening & Speaking Skills: Phonetics symbols- practice- Exercises - Pronunciation- Reading

Cum Speaking Practice: Enunciation- Homonyms- Homophones- Homographs: Vocabulary-

Root words- Affixes- Identifying meaning from context- Synonyms & Antonyms: Word

building: Escatalk: Speaking to persuade: Pyramid Discussion: Story- Telling and interpretation:

End story: Speaking to Explain: Tell me why?

General Writing Skills: Clarity and conciseness in writing: Paragraph Writing: Identifying

Topic sentences, writing topic sentence: Linkers, Coordinates: Letter Writing & E- Mail Writing:

Netiquette

Reading Skills: Reading comprehension Practice Exercises: Reading for information: Reading

for specifics --- theme, attitude: Types of Reading: Vertical Reading: Identifying the central idea:

Speed Reading --- seven techniques to improve reading speed

Soft Skills: Introduction to soft skills: Verbal and Non-verbal communication: Cultural

sensitivity: Empathy and understanding: Diversity and Acculturation

Reference Books 1. English pronunciation in use: Intermediate, 2nd edition, Mark Hancock and Sylvie Donna,

Cambridge publication.

2. Speaking English Effective (English) 2nd Edition, Krishna Mohan & N P Singh, Laxmi

Publications-New Delhi, 2005 print.

3. The Ace of Soft Skills, Mr. Gopalaswamy Ramesh et al, Pearson publishers, 2010 print.

4. Effective speech, Richard W.Clark, Glencoe Pub. Co., 1988 Print.

5. Effective Business Communication, Asha Kaul, PHI Learning Private Limited, New

Delhi, 2011

INSTANT COMMUNICATION SKILLS

Course code: 17 EN 3102 L-T-P: 0-0-4

Pre Requisite: NIL Credits: 2

Mapping of Course Outcomes (CO) to Student outcomes:

CO No CO PO BTL

CO 1 Analyse the concept of Group Discussion and speak effectively

during the discussion. 10

4

CO 2 Apply and analyze various concepts of writing strategies in

professional communication skills like, reports, proposals and

minutes of the meeting.

10 3

CO 3 Analyse vocabulary and apply the types of reasoning in

comprehending the information. 10 4

CO 4 Apply the mechanics and application of presentation skills and apply

people skills in various social organizational and corporate

ambiences.

10 3

SYLLABUS

Speaking & Listening Skills: Group Discussions: Know yourself as a Communicator:

Communicating with others: Format of GD as used in national level recruitment boards: Rules,

ambience and normal practices: Do s and Don’t s in Group Discussions: Helping to build

confidence, improve on content and clarity: Practicing skills like Initiating, developing and

concluding discussions

Structures and Written Expression: Sentence Completion: Writing Proposals: Product and

process description: Agenda, Minutes and Scheduling meetings: Technical Writing Skills: Report

Writing: Types of reports, Formats and how to write good reports.

READING SKILLS: Reasoning Skills: Analytical Reasoning: Critical Reasoning: Language

Specific Reasoning: Vocabulary in context: Signpost words: Pejorative Signals and

Complimentary Signals: Continuation Signals: Contrast signals: Sentence Completion: Text

completion: Sentence Equivalence.

SOFT SKILLS: Seminars & Presentations: People Skills: Initiating and ending conversations:

Expressing and creating interest: Initiating and ending conversations: Breaking good/bad news

Text Books

1. Professional Communication, Aruna Koneru, Tata Mc Graw- Hill Publishing Company,

New Delhi, 2008 Print..

2. Technical Writing Process and Product (third edition), Sharon J. Gerson, Steven M

Gerson, Pearson Education, Asia.

3. Developing Reading Skills: A Practical Guide to Reading Comprehension Exercises,

Frangoise Grelle. Cambridge University Press, 1981.

4. Study Reading: A Course in Reading Skills for Academic Purposes, Eric H. Glendinning,

Beverly Holmström, Cambridge University Press, 2004.

5. Reasoning and Reading Level 1, Joanne Carlisle, School Specialty Intervention, 1999

6. Presentation skills. The essential guide for students, Patsy Mc Carthy & Caroline Hatcher,

Sage publications, 2002.

7. Business Communication : Connecting in a Digital World, Raymond V.Leisikar, Marie. E.

Flatley et al. Mc Graw Hill Education, 13 Edition, 2015 print.

CORPORATE COMMUNICATION SKILLS

Course code: 17 EN 3203 L-T-P: 0-0-4

Pre Requisite: NIL Credits: 2

Mapping of Course Outcomes (CO) to Student outcomes:

CO No CO PO BTL

CO 1 Analyse the method of identifying synonyms and antonyms and

analyze the meaning of a word from the context. 10 4

CO 2 Analyze various strategies involved in writing an essay and apply

various styles in writing. 10 4

CO 3 Analyse the organization of the passage and also analyze the tone,

attitude and style of the author. 10 4

CO 4 Acquire knowledge on various employability skills & analyze a

situation and develop adaptability. 5 4

SYLLABUS

SPEAKING SKILLS: Verbal Ability: Synonyms & Antonyms: Analogy: One word

substitution: Sentence completion: Analyzing arguments: Sentence correction: Speaking

Practice: Persuasive speaking: Sell out: Impromptu speaking: My News my paper

WRITING SKILLS: Résumé Writing: Five Types of Essays: Agree or disagree: Which do you

prefer and why: If / imaginary: Description / Explanation: Comparison and Contrast

Styles in Writing: Modes of Discourse: Narration : Description: Exposition: Argumentation/

Persuasion

READING SKILLS: Reading Comprehension: Critical Reading: Searching for implied

meanings: Answering questions on theme, tone, point of view, title etc.

SOFT SKILLS: Interview Skills: Mock Interviews: Writing personal profile & Company

profile: Answering unconventional HR questions: Dress Code: Dining etiquette: Interpersonal

skills

Text Books

1. Communication Skills, Sanjay Kumar & PushpaLata, Oxford University Press, 2014

print.

2. IELTS Essay Booster (One Stop Destination for the Writing Module) (English),

Akanksha Makwana, Heeral Bhatt, MK Book Distributors- Ahmedabad.

3. GRE Analytical Writing : Solutions to the Real Essay Topics (English), Create space

Independent Pub

4. Critical Reading: English for Academic Purposes 1st Edition, Pearson Education ESL;

1 edition, 2015

5. Study Reading: A Course in Reading Skills for Academic Purposes, Eric H.

Glendinning, Beverly Holmström, Cambridge University Press, 2004.

6. Soft skills enhancing employability – connecting campus with corporate, M S Rao,

International Publishing Pvt Ltd, 2002.

7. Personality development and soft skills, Sunitha Mithra, OUP 2012.

8. Objective English : 3 rd Edition, Edgar Thorpe and Showick Thorpe, Pearson Publishers,

2010 print.

9. Objective General English, RS Agarwal, S Chand Publishers, New Delhi.

ECOLOGY AND ENVIRONMENT

Course code: 17 GN 1001 L-T-P: 2-0-0

Pre Requisite: NIL Credits: 2

Mapping of the course outcomes with student’s outcomes.

CO

No:

CO PO BTL

CO 1 Understand the importance of Environmental education and

conservation of natural resources. 6 1

CO 2 Understand the importance of ecosystems and biodiversity. 12 1

CO 3 Apply the environmental science knowledge on solid waste

management, disaster management and EIA process. 6 3

Syllabus:

The Multidisciplinary nature of Environmental Studies - Introduction to Environment,

Definition,scope,importance,Multidisciplinary nature of Environmental Studies, Need for public

awareness. Institutions and people in Environment. Natural Resources- Renewable and Non

Renewable Resources Forest resources - Benifits,Deforestation,causes, effects and impacts,

Afforestation programmes, Socio-forestry, Agro-forestry, Vanasamrakshana programmes,.

Mining its impact on environment - mining, dams and their effects on forests and tribal people.

Water resources- Distribution of surface and ground water, Aquifers, floods, drought, conflicts

over water, dams, benefits and problems, Water conservation, rain water harvesting, watershed

management, Cloud seeding Mineral resources- Use, exploitation, environmental effects. Food

resources- Changes in agricultural methodologies, comparison between old and new methods of

farming, Green Revolution, Environmental Impact Assessment of conversion of agricultural

lands, effects of modern agriculture, Drip Irrigation, fertilizer, pesticide problems,

Eutrophication, Vermicompost, water logging, Blue baby syndrome. Energy resources -

Growing energy needs, renewable and non renewable energy sources. Land resources-. Soil

erosion- Importance of soil, Types of soil erosion, Causes and effects of soil erosion. How to

control soil erosion. Role of an individual in conservation of natural resources. Ecosystems -

Concept of an ecosystem, Structure and function of an ecosystem, Energy flow in the ecosystem

,Ecological succession, Food chains, food webs and ecological pyramids. Types of ecosystem.

Biodiversity and its Conservation- Introduction, Definition, Levels, Values of biodiversity,

India as a mega diversity nation. Hotspots of biodiversity. Threats to biodiversity- Endangered

and endemic species of India. Conservation of biodiversity- Assessment of Biodiversity and its

impact on Environment. Environnemental Pollution- Définition, Causes, effects, control

measures of Air pollution, Water pollution, oïl pollution, Marine pollution, Noise pollution,

Thermal pollution,Nuclear hazards. Soil waste management. Electronic waste management,

Biomedical waste management - Role of an individual in prevention of pollution. Disaster

management–.Climate change, global warming, acid rain, ozone layer depletion.

Environmental Legislation and objectives of Environment Protection Act, Air (Prevention and

Control of Pollution) Act, Water (Prevention and control of Pollution) Act, Wildlife protection

Act, Forest conservation Act, Biodiversity Act, Public awareness. Environmental Impact

Assessment Process. Text Book:

1. Anubha Kaushik, C.P.Kaushik, “Environmental Studies” , New Age International,

(2007).

2. Benny Joseph, “Environmental Studies”, Tata McGraw-Hill companies, New Delhi,

(2009).

HUMAN VALUES

Course code: 17 GN 1002 L-T-P: 2-0-0

Pre Requisite: NIL Credits: 2

Mapping of the course outcomes with student’s outcomes.

CO No: CO PO BTL

CO1 Understand and identify the basic aspiration of human beings 8 2

CO2 Envisage the roadmap to fulfill the basic aspiration of human beings. 8 4

CO3 Analyze the profession and his role in this existence. 8 4

Syllabus:

Introduction to Value Education: Understanding Value Education, Self-exploration as the

Process for Value Education, Continuous Happiness and Prosperity - The Basic Human

Aspirations, Right Understanding, Relationship and Physical Facilities, Happiness and Prosperity

– Current Scenario, Method to fulfill the Basic Human Aspirations.

Harmony in the Human Being: Understanding the Human Being as Co-existence of Self (‘I’)

and Body, Discriminating between the Needs of the Self and the Body, The Body as an

Instrument of ‘I’, Understand Harmony in the Self (‘I’), Harmony of the Self (‘I’) with the Body,

Program to Ensure Sanyam and Svasthya.

Harmony in the Family and Society: Harmony in the Family - the Basic Unit of Human

Interaction, Values in Human-to-Human Relationships, ‘Trust’ – the Foundational Value in

Relationships, ‘Respect’ – as the Right Evaluation, Understand Harmony in the Society, Vision

for the Universal Human Order.

Harmony in the Nature (Existence): Understand Harmony in the Nature, Interconnectedness,

Self-regulation and Mutual Fulfillment among the Four Orders of Nature, Realizing ‘Existence is

Co-existence’ at All Levels, The Holistic Perception of Harmony in Existence.

Implications of the Right Understanding – a Look at Professional Ethics: Natural

Acceptance of Human Values, Definitiveness of (Ethical) Human Conduct, A Basis for

Humanistic Education, Humanistic Constitution and Universal Human Order, Competence in

Professional Ethics, Holistic Technologies, Production Systems and Management Models -

Typical Case Studies, Strategies for Transition towards Value-based Life and Profession.

Text Book:

1. R R Gaur, R Sangal and G P Bagaria, “ A Foundation Course in Human Values and

Professional Ethics”, 1st Ed, Excel Books.

BASIC SCIENCES

SINGLE VARIABLE CALCULUS AND MATRIX ALGEBRA

Course code: 17 MT 1101 L-T-P: 3-0-2

Pre Requisite: NIL Credits: 4

Mapping of Course Outcomes (CO) to Student outcomes:

CO

No:

Course out come PO BTL

1 Model the physical laws and relations mathematically as a first order

differential equations, solve by analytical and numerical methods also

interpret the solution.

1 1

2 Model physical laws and relations mathematically as a second/higher order

differential equations, solve by analytical method and interpret the solution. 1 2

3 Obtain the Fourier series expansions of periodic functions and use the series

to solve ordinary differential equations. 1 2

4 Model physical problems mathematically as a system of linear equations and

solve them by analytical and numerical methods. Also, determine the nature

of Quadratic form using Eigen values.

1 1

5 Verify the solution of problems through MATLAB. 5 2

SYLLABUS :

Differential Equations: Definitions and terminology and mathematical models used in

differential equations. First-order and higher-order differential equations, along with the methods

of solutions and their applications. Modeling with first and higher-order also systems of linear

first-order differential equations. Solutions of first order ordinary differential equations by

Numerical methods.

Fourier series: Definitions and Fourier series for a periodic signal. Fourier series for simple

functions. Fourier series of the summation of sinusoids directly from the definition by using

Euler's formula. Solving particular solution to differential equation by Fourier series.

Matrix algebra: Solving linear System of equations by Gauss-elimination, L U decomposition

and Jacobi, Gauss Seidal iteration methods, orthogonal, symmetric, skew-symmetric, Hermitian,

Skew-Hermitian and unitary matrices, Eigen values, Eigen vectors and their properties, Cayley -

Hamilton theorem (without proof) and its applications, and quadratic forms.

Text books:

1. Advanced Engineering Mathematics, Erwin Kreyszig. John Wiley & Sons, Inc.

10 th Edition.

2. Advanced Engineering Mathematics, Greenberg, PHI Publishers, 2nd Edition.

Reference Books:

1. Differential Equations for Engineers, Wei-Chau Xie, Cambridge University Press,

New York. R1

2. Higher Engineering Mathematics, BS Grewal. Publisher: Khanna, New Delhi. R2

3. Advanced Numerical Methods with MATLAB, SC Chapra, Tata McGraw-Hill. R3

FOUNDATIONS OF COMPUTATIONAL MATHEMATICS

Course code: 17 MT 1102 L-T-P: 3-0-0

Pre Requisite: NIL Credits: 3

Mapping of Course Outcomes (CO) to Student outcomes:

CO No Course out come PO BTL

1 Evaluate mathematical expressions by using different types of

operations on numbers. 1 3

2 Simplify expressions and solve equations & inequations. 1 3

3 Apply different types of arithmetic expressions to solve given

problems. 1 3

4 Apply methods to find areas , volumes and use graphs to reduce

non-linear to linear forms. 1 3

Numbers : Bodmas Rule, Fractions & Decimals, Classification of numbers, Divisibility rules,

factorization, Division & Successive division, Remainders in divisions involving higher powers,

LCM and HCF and Number systems.

Algebra: Powers, roots and Indices, Venn diagrams, Surds, Logarithms, Quadratic Equations &

Inequalities, Progressions, Simple Equations. Transposing formulae and solving simultaneous

equations.

Arithmetic : Ratios, Proportion, Variation, Percentages, Profit & Loss, Simple & Compound

Interest, Averages, Mixtures and Allegations, Time and Distance, Time and Work, Clocks,

Calendars and Blood relations

Geometry and Mensuration: Lines & angles, triangles, quadrilaterals, polygons, circles,

surface areas, volumes of 3D figures, graphs reducing non-linear laws to linear form and graphs

of exponential functions.

Prescribed Text Books

1. Basic Engineering Mathematics, John Bird, Fourth Edition, Elsevier.

Reference Text Books

1. Quantitative Aptitude, R. S. Aggarwal, Schand Publications.

2. Quantitative Aptitude - G. L. Barrons.

3. Quantitative Aptitude - Abhijit Guha, Mc Graw Hills.

MULTIVARIATE CALCULUS

Course code: 17 MT 1203 L-T-P: 3-0-2

Pre Requisite: NIL Credits: 4

Mapping of Course Outcomes (CO) to Student outcomes:

CO

No: Course Outcome

PO BTL

1 Determine extreme values for functions of several variables 1 3

2 Determine area, volume moment of inertia through multiple integrals in

Cartesian or polar co ordinates. 1 3

3 Apply the concepts of vector calculus to calculate the gradient, directional 1 4

derivative, arc length , areas of surfaces and volume of solids in practical

problems

4 Obtain analytical and numerical solutions of Heat and wave equations 1 4

5 Verify the solution of problems through MATLAB 5 3

SYLLABUS:

Differential Calculus: Partial derivatives, Jacobian, total differentiation and their applications,

chain rule, Taylor’s series for function of two variables, maxima and minima of functions of two

variables, Lagrange’s multipliers method.

Integral Calculus: Line integrals- double and triple integrals and applications to area, volume,

mass & moment of inertia. Change of order of integration, change of variables in polar,

cylindrical and spherical polar coordinates.

Vector Calculus: Scalar and vector point functions, gradient and directional derivative of a

scalar point function, divergence and curl of a vector point function. Line, surface and volume

integrals, Green’s, Gauss divergence and Stoke’s theorems and their applications

Partial differential equations: Formation of partial differential equations, solutions of first

order linear and nonlinear PDEs by Lagrange method, solution of second order PDEs by method

of separation of variables i.e., one dimensional wave and heat equations, Laplace equation in two

dimensions. Solving Laplace equation by Finite difference method.

Text books:

1. Erwin Kreyszig, Advanced Engineering Mathematics, 10 th Edition, John Wiley &Sons,

Inc, Newyork . (2015)

2. Nakhle H Asmar, Partial differential equations with Fourier series and boundary value

problems, Second edition Pearson Pub.

Reference Books:

1. Michael Greenberg, Advanced Engineering Mathematics. Second edition, Prentice Hall,

USA. 2. Zafar Ahsan, Differential equations and their applications, second edition, PHI

3. Higher Engineering Mathematics, B.S.Grewal, Khanna Publishers, India

ENGINEERING CHEMISTRY

Course code: 17 CY 1001 L-T-P: 3-0-2

Pre Requisite: NIL Credits: 4

Mapping of Course Outcomes (CO) to Student outcomes:

CO No: Course Outcome PO BTL 1 Predict potential complications from combining various chemicals or metals

in an engineering setting 4,3 3

2 Discuss fundamental aspects of electrochemistry and materials science

relevant to corrosion phenomena 4,3 3

3 Examine water quality and select appropriate purification technique for

intended problem 4,3 4

4 Apply polymers, conducting polymers ,green chemistry and nano chemistry

to engineering processes 3 4

5 An ability to analyze & generate experimental skills 4,3 4 SYLLABUS:

ELECTRO CHEMISTRY: Single electrode potential and its measurement, Electrochemical

cells, EMF series, Nernst equation, Cell emf measurement, Reversible and irreversible cells,

Concentration cells, Reference electrodes--Determination of pH using glass electrode. Storage

devices : Chemistry, construction and engineering aspects of Primary (mercury battery) and

secondary (lead-Acid cell, Ni-Metal hydride cell, Lithium cells) and fuel cells– Hydrogen–

Oxygen fuel cell, advantages of fuel cell. , Fuels – Types of fuels, Calorific value, Determination

of Calorific value; CORROSION & ITS CONTROL:Causes and different types of corrosion

and effects of corrosion. Theories of corrosion– Chemical, Electrochemical corrosion, Pitting

corrosion, stress corrosion, Galvanic corrosion. Factors affecting corrosion– Nature of metal,

galvanic series, over voltage, purity of metal, nature of oxide film, nature of corrosion product.

Nature of environment- effect of temperature, effect of pH, Humidity, effect of oxidant.

Cathodic protection, sacrificial anode, impressed current cathode, electroplating;

METAL ALLOYS: Types of Alloys- ferrous and nonferrous alloys, Carbon steel, Alloy steel,

Alloys of Cu, Al, Pb.PHASE RULE: phase rule applications to one and multiple component

systems phase diagram. WATER Technology: Introduction, Hardness: Causes, expression of

hardness – units – types of hardness, estimation of temporary and permanent hardness of water,

numerical problems. Alkalinity and estimation of alkalinity of water, numerical problems. Boiler

troubles – Scale & sludge formation, caustic embrittlement, Boiler corrosion, priming &

foaming. Softening of water: Internal and external treatments -Lime soda, Ion exchange

process. Desalination-reverse osmosis and electro dialysis.POLYMERS AND PLASTICS:

Basic concepts of polymers- Types of polymerization-Plastics – Thermoplastic resins and

Thermosetting resins - Compounding of plastics – Fabrication of plastics. Preparation, properties

and engineering applications of: polyethylene, PVC, Teflon, Bakelite, Urea Formaldehyde.

Conducting Polymers: Polyacetylene,polyaniline, conduction, doping and applications.

Polymer composites: Physico Chemical properties of polymer composites and

Applications.NANO TECHNOLOGY: Introduction, Fullerenes, Carbon nanotubes, Nanowires;

properties; Synthesis of nanomaterials; Topdown & bottom up approach; Applications of

nanomaterials.GREEN CHEMISTRY: Introduction, Green technology- Latest green

laboratory technology for saving experimental resources and infrastructural framework; R4M4

(Reduce, Reuse, Recycle, Redesign; Multipurpose, Multidimensional, Multitasking, Multi-

tracking;) model with special reference of survismeter, econoburette.

Text books:

1. Engineering Chemistry, Jain & Jain, Dhanpat Rai Publishing Company. New Delhi.

2. Engineering Chemistry, O G Palanna, The Tata McGraw Hill, New Delhi.

Reference Books:

1. Chemistry in Engineering and Technology, Volume 2, J C Kuriacose & J Rajaram, Tata

McGraw Hill, New Delhi.

2. Chemistry for Engineers,Dr Rajesh Agnihotri, Wiley, New Delhi.

3. Engineering Chemistry, B. Sivasankar, The Tata McGraw Hill, New Delhi.

4. A text book of Engineering Chemistry, Shashi Chawla, Dhanpat Rai & Co. New Delhi.

5. Engineering Chemistry, C Parameswara Murthy, C V Agarwal and Andra Naidu, B S

Publications, Hyderabad.

6. Engineering Chemistry, Shikha Agarwal, Cambridge University Press.

ENGINEERING MATERIALS

Course code: 17 PH 1001 L-T-P: 3-0-2

Pre Requisite: NIL Credits: 4

Mapping of Course Outcomes (CO) to Student outcomes:

CO

No:

Course Outcome(CO) PO BTL

1 Understands structure of crystalline solids, kinds of crystal

imperfections and appreciates structure-property relationship in crystals. 1 2

2 Understands magnetic properties of materials and identifies their role in

classification soft & hard magnetic materials having specific

engineering applications.

1 2

3 Understands thermal and mechanical properties of materials, heat

treatment methods for changing the microstructure of materials and

responses of materials subjected to load.

1 2

4 Understands the role of electronic energy band structures of solids in

governing various electrical and optical properties of materials. 1 2

5 Apply the knowledge on structure and properties of materials while

executing experiments and develop inter disciplinary projects. 4 3

SYLLABUS

Crystallography: Bonding in materials, Space lattice, basis, unit cell, Seven Crystal systems,

Bravais lattice system, Reciprocal lattice, Crystal directions, Miller Indices, problems, Diffraction

of Crystals, Bragg’s Law, XRD, Laue, Rotating Crystal and powder XRD Techniques, Problems.

Crystal Imperfections: Point Defects, Line Defects, Surface Defects, Volume Defects, and

Effects of Defects on Crystalline Properties.

Magnetic properties: Origin of Magnetic Moment, Dia, Para, Ferro, Antiferro and Ferri

Magnetism, Domain theory and Hysteresis Effect of Ferro and Ferri Magnetism, Soft and Hard

Magnetic Materials.

Thermal properties: Iron-Carbon Diagram, Heat capacity, Thermal Expansion and Thermal

Conductivity in Metals, Ceramics and Polymers, Heat treatment of Materials, Hardening,

Tempering, Quenching and Nitriding.

Mechanical Properties: Stress, Strain, Hooke’s Law, Elasticity, Plasticity, Creep, Ductility,

Brittle, Hardness, Strength, Modulus of Elasticity, Fracture, Fatigue, Stress- Strain Behavior of

Ductile and Brittle Materials, Hardness Tests- Vickers, Rockwell and Brinell.

Electrical Properties: Energy band theory, Band structures in Conductors, Semi conductors and

Insulators, Electrical properties of conductors- Ohms, Mathiessen rule, conductivity, Mobility,

Electrical properties of Semi conductors, Factors effecting the carrier concentration, Conductivity

and Mobility of charge carriers. Electric properties of Insulator-Dielectrics- Types of Dielectrics,

Dielectric Constant, Polarization, Types of Polarizations, Frequency Dependence of Polarization,

Ferro, Piezo Electrics.

Optical properties: Optical reflectance, Optical Absorption, snell’s law, Total Internal reflection

in optical fibers.

Text books: 1. William D. Callister,Jr. “Materials Science and Engineering: An Introduction” 6th edition,

2007, Wiley India Pvt.Ltd.

2. Charles Kittel, ” Introduction to Solid State Physics” 8th edition, 2012, Wiley India Pvt.Ltd.

Reference Books:

1. Adrianus J. Dekker, “Solid State Physics” 1st Edition 2002, Macmillan India Ltd.

2. S. O. Pillai, "Solid state physics" Revised 6th edition, New Age International Publishers.

3. Rangwala, Engineering Materials (Material Science), Charotar Publishing House PVT. LTD.

PROBABILITY AND STOCHASTIC MODELS

Course Code :17MT2006 L-T-P :3-0-2

Pre-requisite :NIL Credits : 4

Mapping of course outcomes with student outcomes:

Syllabus:

Probability and Random variables: Definitions of probability, Sample space, Axioms of

probability, Conditional probability, Addition, Multiplication and Bayes’ theorem. Random

variables, Joint and marginal probabilities, Mathematical expectation.

Standard discrete and continuous distributions: Definitions and simple properties of

Binomial, Poisson, Geometric, Hyper-Geometric, Uniform, Exponential, Weibull and Normal

distributions, Applications of the above distributions.

Correlation and Regression: Correlation coefficient for grouped and ungrouped data, Rank

correlation. Linear and Non-Linear Regression.

Stochastic Processes: Discrete-Time Markov Chains, Continuous- Time Markov Chains.

Queueing models: Single and multi server markovian queuing models with finite and infinite

capacity. Networks of queues.

Simulation: Introduction to simulation, simulation examples, general principles, statistical

models in simulation. Verification and validation of simulation models.

Text Books

1. Ronald E. Walpole, Sharon L. Myers and Keying Ye, “Probability and Statistics for

Engineers and Scientists“, 8th Edition, Pearson.

2. Kishore S Trivedi, “Probability& Statistics with Reliability, Queueing and Computer Science

Applications”, 2nd Edition, Wiley India, 2009.

Reference Books

1. Richard A Johnson , Miller & Freund’s Probability and Statistics for Engineers, 11th Edition

PHI, New Delhi.

2. Jerry Banks, John S Carson, Barry L Nelson, David M Nicol, Discrete- Event System

Simulation, 4th Edition, Pearson

3. Jay L. Devore, Probability and Statistics for Engineers, CENAGE learning.

4. S C Gupta and V K Kapoor , Fundamentals of Mathematical Statistics, 11th Edition, S Chand

& Sons, New Delhi.

LOGIC AND REASONING

Course code: 17 MT 1204 L-T-P: 3-0-0

Pre Requisite: NIL Credits: 3

Mapping of Course Outcomes (CO) to Student outcomes:

CO.No Course outcome Mapped PO BTL

1 Construct the probability distribution of a random

variable, based on a real-world situation, and use it

to compute expectation and variance

2 4

2 Predict the relationship between two variables and

construct the linear and non-linear regression lines

for the given data

2 4

3 Model the Single and multi server markovian

queuing models with finite and infinite capacity. 5 4

4 Verify and validate the simulation models. 5 4

5 Verify the solution of problems through

MATLAB/MINITAB. 5 4

CO No Course Outcome (CO) PO BTL

1 Apply the fundamental principle of counting and use them to

measure the uncertainty in random experiments. 1 3

2 Apply Venn diagrams to find the conclusion of statements , solve

puzzles using binary logic and problems relating to cubes. 1 3

3 Apply the available models for Data sufficiency & redundancy

and interpret it , when given, in tabular and graphical forms. 1 3

4 Apply the Reasoning techniques to solve problems on

arrangements, series, analogies, coding and decoding. 1 3

SYLLABUS

Permutation and Combinations : Fundamental Principle of Counting, Counting Methods,

Definition of permutation, Linear Permutations, Rank of a word, Circular Permutations,

Definition of Combinations, Problems on Combinations

Probability: Definitions of Probability, Addition and Multiplication Theorems.

Deductions:Introduction, Expressing different types of statements using venn diagrams,

Definition of complimentary pairs, Finding the conclusions using venn diagrams for two and

more statements.

Logical Connectives: Definition of simple statement, Definition of compound statement,

Finding the implications for compound statements, Finding the negations for compound

statements. Binary Logic: Definition of a truth-teller, Definition of a liar, Definition of an

alternator, Solving problems using method of assumptions, Solving analytical puzzles using

binary logic. Cubes: Basics of a cube, Finding the minimum number of cuts when the number

of identical pieces are given, Finding the maximum number of pieces when cuts are given,

Problems on painted cubes of same and different colors, Problems on cuboids, Problems on

painted cuboids, Problems on Dice. Data Sufficiency: Different models in Data Sufficiency,

Problems on Data sufficiency, Problems on data redundancy. Data Interpretation : Problems

on tabular form, Problems on Line Graphs, Problems on Bar Graphs, Problems on Pie Charts.

Analytical Reasoning puzzles: Problems on Linear arrangement, Problems on Circular

arrangement, Problems on Double line-up, Problems on Selections, Problems on Comparisons.

Number and letter series: Difference series, Product series, Squares series, Cubes series,

Alternate series, Combination series, Miscellaneous series, Place values of letters. Number and

Letter Analogies: Definition of Analogy, Problems on number analogy, Problems on letter

analogy, Problems on verbal analogy.

Odd man out: Problems on number Odd man out, Problems on letter Odd man out, Problems

on verbal Odd man out. Coding and decoding: Coding using same set of letters, Coding using

different set of letters, Coding into a number .Comparison & Elimination

Text Books

1. A modern approach to Logical reasoning, R S Agarwal, S. Chand Publications.

Reference Text Books

1. Logical Reasoning, Arun Sharma, Mc Graw Hill.

2. Analytical & Logical Reasoning, Peeyush Bhardwaj, Arihant Publications.

ENGINEERING SCIENCES

INTRODUCTION TO ELECTRONICS AND COMPUTER SCIENCE ENGINEERING

Course code: 17EM1101 L-T-P: 2-0-2

Pre Requisite: NIL Credits: 3

Mapping of Course Outcomes (CO) to Student outcomes:

CO No: CO Mapped

PO/PSO

BTL

1 Discuss the various applications of electronics in everyday lives and

Understand the working of basic electronic components PO1 1

2 Understand the usage of diodes, LED,LCD ,Sensors in design of

electronic applications. PO1,PO5 1

3 Understand the applications of computers in day to day life and

various software packages

PO1,PO5 1

4 Understand the basics of computer networks ,internet and design web

pages using HTML

PO1,PO5 1

5 Implement the Basic Components, Sensors and Communication

Modules using Arduino and Apply various Software packages to

solve real world problem

PO1,PO5

3

Syllabus

Introduction to Electronics Engineering: Day-to-day usage of electronics. Basic Components,

Capacitor & types: ceramic, electrolytic, file. Inductor & types: air, iron, trapped. Resistor &

types: carbon, ceramic, wire wound, LDR. Carbon resistor color code, RF inductor color code.

Thermistor vs Sensistor. Switch & types. Diodes: switching, signal, photodiode, LED. LED

types: visible, IR. Common anode & cathode, patterns with LEDs, interfacing with LEDs, usage

in daily life. Relay & types: FMR, SSR, usage in daily life. LCDs, usage in daily life.

Temperature sensor & calibration, Microphone as a sensor. Gas sensor, calibration & response.

LDR & its usage in daily life. LDR as a sensor. Introduction to Computer Engineering:

Classification, History, Types of Computers. Block Diagram of The Computer System.

Hardware: CPU, Memory, Input and Output devices, Auxiliary storage devices. Software:

System and Application Software, Utility packages, Configuration of Computer System.

Operating System, Programming Languages, Features and trends. Introduction to Algorithm &

flowchart. Office Automation Tools: MS-Office, Word, PowerPoint, Excel. Translators:

Assembler, Compiler and Interpreter. Computer Networks, Internet and World Wide Web, FTP,

Electronic Mail. Web Development Using HTML.

List of Experiments

1. Write a program to demonstrate LED interfacing using Arduino UNO.

2. Write a program to demonstrate switch LED interfacing Arduino UNO.

3. Write a program to demonstrate 7-Segment interfacing Arduino UNO.

4. Write a program to demonstrate LCD interfacing Arduino UNO.

5. Write a program to demonstrate DC MOTOR interfacing Arduino UNO.

6. Write a program to demonstrate LM35 interfacing Arduino UNO.

7. Write a program to demonstrate RELAY interfacing Arduino UNO.

8. List the Computer System /Laptop Specifications including

a)Processor b) Speed c) RAM d) OS & Version e) Disk Space –Divisions, Occupied

,Free space f) Processor Bit Length g) List of Major software’s installed and their usage

h) I/O Devices i) List of Browsers j) Ports k) IP Address

9. Mail Merge Using Microsoft Word with necessary Alignments (Font Style, Line Spacing,

Margins, Header, Footer).

10. a) Calculate Employee Net Salary Using formulas in Microsoft Excel

b) Represent the Above data using Graphs (Bar chart/Pie Chart).

11. Create a presentation on any Technical Topic of your choice

12. Create a HTML Static Web page about Yourself including Your Name, Photograph,

Address,

Hobbies and Education Details.

Text Books:

1. Raja Raman V., "Fundamental of Computers" (4th edition.), PHI, New Delhi.

2. Norton, Peter, ―Introduction to Computers, Mc-Graw-Hill.

3. S.Jaiswal, ―Fundamental of Computer & IT�, Wiley dreamtech. India

PROBLEM SOLVING AND COMPUTER PROGRAMMING

Course code: 17CS1101 L-T-P: 2-4-2

Pre Requisite: NIL Credits: 5

Mapping of Course Outcomes (CO) to Student outcomes:

CO.NO.

Course outcome's Mapped

PO/PSO

BTL

CO1 Understanding the various steps in problem solving,

Use C-programming control statements and loops.

2 1

CO2 Apply suitable searching and sorting techniques to

solve various problems

2/1 3

CO3 Apply stack and Queue datastructures to solve real

world problems

2/1 3

CO4 Apply linked List and tree data structures to solve

real world problems

2 4

CO5 Practice all the programs based on searching , sorting

stack, Queue, list and tree

2 4

SYLLABUS

Problem Solving Approach, Algorithms and Algorithm Analysis, Program Development Steps,

Structure of C Program, Pre-Processor Directives, Formatted I/O,C Tokens, Data Types:

Primitive, Extended and Derived Including Pointers, Operators, Precedence, Associativity ,

Redirecting I/O :Files and File Operations , Control Flow Statements, Functions,

Recursion, Scope of Variables and Storage classes, Arrays, 2-DimensionalArrays,Dynamic

Memory Allocation, Searching: Linear Search and Binary Search, Sorting: Bubble Sort,

Strings, Structures and Unions, Introduction to Stacks-Implementation using array,

Introduction to Queues - Linear Queue-Implementation using array, Introduction to Lists: Single

Linked List- Insertion, Deletion, Display, Introduction to Trees- Binary tree, Definition,

Terminology.

Text Books:

1. Brian W. Kernighan, Dennis M. Ritchie, “The C Programming Language: ANSI C

Version”, 2/e, Prentice-Hall/Pearson Education-2005.

2. E. Balagurusamy , “Programming in ANSI C” 4th ed., Tata McGraw-Hill Education, 2008

3. R. F. Gilberg, B. A. Forouzan, “Data Structures”, 2nd Edition, Thomson India Edition-2005.

Reference Books:-

1. Mark Allen weiss, Data Structures and Algorithm Analysis in C, 2008, Third Edition,

Pearson Education.

2. Horowitz, Sahni, Anderson Freed, “Fundamentals of Datastructures in C”, 2nd Edition-2007.

3. Robert Kruse, C. L. Tondo, Bruce Leung, Shashi Mogalla, “Data structures and Program

Design in C”, 4th Edition-2007.

4. C for Engineers and Scientists – An Interpretive Approach by Harry H. Cheng, Mc Graw

Hill International Edition-2010.

5. Jeri R. Hanly, Elliot B. Koffman, “Problem Solving and Program Design in C”, 7/e, Pearson

Education-2004.

6. Jean Paul Trembly Paul G.Sorenson, “An Introduction To Data Structures with

applications”, 2nd Edition.

DATA STRUCTURES

Course code: 17CS1102 L-T-P: 2-4-2

Pre Requisite: NIL Credits: 5

Mapping of Course Outcomes (CO) to Student outcomes:

CO.NO. Course outcome's Mapped

PO/PSO

BTL

CO1 Apply Array, Structure, Queue and Priority Queue

concepts for solving problems 1,2 3

CO2 Use linked lists and apply stacks and queue’s in

different applications 1,2 3

CO3 Apply advanced search techniques, Trees, Binary

trees, Expression Trees and Binary Search Trees for

solving problems

1,2 3

CO4 Use RedBlack Tree, for solving problems and apply

advanced search techniques like Hashing, Rehashing

and Extendible hashing to solve real world problems

1,2 4

CO5 Practice the programs on Queue, Stack, Tree, and

Hashing. 1/1 4

SYLLABUS

Problem solving on Arrays, Array of Structures, Nested Structures, Queues: DE

Queue,Circular Queue and Priority Queues, Lists: Operations on Single Linked List, Double

Linked List - Operations on DLL, Problem Solving on Strings, Circular Linked List,

Applications of Stacks and Queues, Implementation of Stacks and Queues using Linked List,

Constructing Recursion, Heaps, Sorting: Merge Sort, Quick Sort, Heap Sort, Insertion Sort and

Shell Sort, Trees: Binary Tree, Expression Tree, Binary Search Tree: Implementation- Insertion,

Deletion, Tree Traversals, AVL Tree and Splay Tree , Hashing: Hash Function, Separate

Chaining, Open Addressing, Re-Hashing and Extendible Hashing.

Text Books:

1. Brian W. Kernighan, Dennis M. Ritchie, “The C Programming Language: ANSI C Version”,

2/e, Prentice-Hall/Pearson Education-2005.

2. R. F. Gilberg, B. A. Forouzan, “Data Structures”, 2nd Edition, Thomson India Edition-2005.

3. Mark Allen weiss, Data Structures and Algorithm Analysis in C, 2008, Third Edition,

Pearson Education.

Reference Books:-

1. Horowitz, Sahni, Anderson Freed, “Fundamentals of Datastructures in C”, 2nd Edition-2007.

2. Robert Kruse, C. L. Tondo, Bruce Leung, Shashi Mogalla, “Data structures and Program

Design in C”, 4th Edition-2007.

3. C for Engineers and Scientists – An Interpretive Approach by Harry H. Cheng, Mc Graw Hill

International Edition-2010.

4. Jeri R. Hanly, Elliot B. Koffman, “Problem Solving and Program Design in C”, 7/e, Pearson

Education-2004.

5. Jean Paul Trembly Paul G.Sorenson, “An Introduction To Data Structures with applications”,

2nd Edition.

BASIC ENGINEERING MEASUREMENTS

Course code: 17 GN 1003 L-T-P: 2-0-2

Pre Requisite: NIL Credits: 3

Mapping of Course Outcomes (CO) to Student outcomes:

CO

No: CO SO

BT

L

1 Understand the Basic fundamentals of a measurement system. c 2

2

Understand various Mechanical measuring parameters, and apply different

measuring techniques on various mechanical parameters using simulation

and experimentation tools.

a,b 2

3

Understand various Electrical measuring parameters, and apply different

measuring techniques on various Electrical parameters using simulation and

experimentation tools.

a,b 2

4

Understand various Electronic measuring parameters, and apply different

measuring techniques on various Electronic parameters using simulation

and experimentation tools.

a,b 2

5 Apply the theoretical concepts to measure different parameters. b 2

SYLLABUS:

Basic Fundamental Measuring Units: Definition and representation of Displacement(

Linear/Angular), Time, Temperature. Speed, Humidity. Measurement of Mechanical

parameters: Force, Stress, Strain, Pressure, Velocity, Acceleration, Mass and Weight.

Measurement of Electrical parameters: Current, Voltage, Power, Energy, Power factor,

Resistance, Inductance, Capacitance. Measurement of Electronic parameters: Oscilloscope :

Amplitude, Frequency, Time period, Phase.

LIST OF EXPERIMENTS:

1. Measurement of Linear displacement using LVDT.

2. Measurement of Strain using Strain Gauge Bridge.

3. Measurement of Voltage using MyDAQ.

4. Measurement of Current using MyDAQ.

5. Measurement of Signal parameters (Amplitude, Time period and Frequency ) using DSO.

6. Measurement of Unknown resistance using Wheatstone bridge.

7. Measurement of 1 phase Power, Energy of a R-L load.

8. Measurements of Inductance using Anderson Bridge.

9. Measurement of capacitance using Schering’s Bridge

10. Measurement of Angular Displacement using Potentiometer.

11. Calibration of Pressure gauge using Dead Weight Pressure Tester.

12. Characterization of Temperature Sensor (RTD,TC,Thermistor).

Text books & References:

1. Experimental methods for engineers, JP Holman, McGraw Hill Ltd.

2. Mechanical measurements, 6/E, Thomas G Beckwith, Pearson

3. Electrical measurements, Martin U Reissland, New Age Int.

4. A course in Electrical, Electronic Measurement, AK Sawhney , Dhanpat Rai & Co.

ENGINEERING MECHANICS

Course Code: 17 ME 1001 L-T-P: 3-0-2

Prerequisite: NILL Credits: 4

Mapping of Course Outcomes (CO) to Student outcomes:

CO No: Course Outcome

PO BTL

1 Understand the concept of forces and apply the static equilibrium

equations. 1,2 3

2 Analyze co-planar and non co-planar system of forces. 1,2 3

3 Apply the concept of centroid & centre of gravity to determine moment of

inertia. 1,2 4

4 Analyze the rigid bodies under translation and rotation with and without

considering forces. 2 3

5 Understand and analyze the engineering systems with the help of

mechanics concept to solve the engineering problems. 4 4

Syllabus:

Statics: Two Dimensional Force systems- Introduction, Basic concepts, Laws of motion,

Principle of Transmissibility of forces, Resultant of a force system, force laws, Resultant of two

dimensional concurrent and Non-concurrent Force systems, Free body diagrams, Applications.

Equilibrium of Rigid bodies–Equilibrium and Equations of Equilibrium, Lame’s theorem,Type

of supports and their reactions, Moments and couples, Varignon’s theorem, Resultant moment

and applications.

Spatial Force Systems and Trusses : Spatial force systems – Forces in space, resultant and

equilibrium of spatial force system. Truss Analysis-Trusses-Assumptions involved in the

Method of joints and sections.

Friction And Properties of Areas : Friction: Introduction, Laws of Coulomb Friction,

Equilibrium of Bodies involving Dry-friction, Applications-ladder friction, wedge friction.

Centriod and Moment of Inertia: Centroids, centre of gravity, Moment of inertia- Area and

Mass- polar moment of inertia, Parallel axis theorem.

Dynamics : Kinematics of Rigid Body: Introduction, Plane Motion of Rigid Body, Velocity

and Acceleration under Translation and Rotational motion.Kinetics of Rigid Body: Introduction,

Force, Mass and Acceleration, Work and Energy, Impulse and Momentum, D’Alembert’s

Principles and Dynamic Equilibrium.

List of Experiments

1. Calculation of Moment of Force using weight balancing technique.

2. Determination of angle of deflection due to eccentric loading on T bar

3. Determination of Centroid for Plane laminas of straight edges

4. Determination of Centroid for Plane laminas of curved edges

5. Determination of axial forces in Trapezoidal Truss

6. Determination of axial forces in Triangular Truss

7. Understanding vectors and vector quantities

8. Calculation of Moment of Force using weight balancing technique and system of pulleys.

9. Verification of Lamie’s Theorem

10. Determination of coefficient of static friction between two surfaces.

11. Determination of motion parameters using work-energy principle

12. Determination of moment of inertia of a flywheel.

Text Books:

1. Engineering Mechanics (in SI Units) / S. Timoshenko, D. H. Young, J.V. Rao/ Tata

McGraw Hill.

References:

1. Engineering Mechanics / S. S. Bhavikatti/ New Age.

2. Vector Mechanics for Engineers -Statics &Dynamics / F.P. Beer and E.R. Johnston/ Tata

McGraw Hill.

3. Engineering Mechanics-Statics and Dynamics by R. C. Hibbler, Prentice.

4. Engineering Mechanics- NH Dubey/ New Age

ENGINEERING GRAPHICS

Course Code: 17 ME 1002 L-T-P: 1-0-4

Prerequisite: Nil Credits: 3

Mapping of Course Outcomes (CO) to Student outcomes:

CO

NO Course Outcome PO B T L

1 Understand the principles of drawing and use of drafting

instruments 1,10,12 4

2 Draw engineering curves and scales. 1,10,12 4

3 Draw the projections of points, lines, planes and solids 1,10,12 3

4 Draw the surface sheath of solids by development of surfaces and

the sections of Solids. 1,10,12 3

5 Prepare 2D & 3D drawings of solids and their transformations. 1,10,12 3

SYLLABUS

Introduction to Engineering Drawing: Principles of Engineering Graphics and their

Significance- Drawing Instruments and their Use - Conventions in Drawing -Lettering - BIS

Conventions. Geometrical Constructions-Divion of Lines, Angles, Polygons Engineering

Curves used in Engineering Practice & their Constructions: Conic Sections: Ellipse,

Parabola, Hyperbola and Rectangular Hyperbola – Gneral and other methods. Special Curves:

Cycloid, Epicycloid, Hypocycloid and Involute. Scales: Different types of Scales, Plane scales

comparative scales, scales of chords. Orthographic Projection In First Angle Projection:

Principles of Orthographic Projections - Conventions - First and Third Angle, Projections of

Points and Lines inclined to both planes, True lengths, traces. Projections Of Planes & Solids:

Projections of regular Planes, auxiliary planes and Auxiliary projection inclined to both planes.

Projections of Regular Solids inclined to both planes - Auxiliary Views Sections and Sectional

Views:-Right Regular Solids - Prism, Cylinder, Pyramid, Cone – Auxiliary views. Development

Solids: Development of Surfaces of Right, RegularSolids -Prisms, Cylinder, Pyramid Cone and

their parts. Isometric Projections : Principles of Isometric Projection - Isometric Scale -

Isometric ViewsConventions - Isometric Views of Lines, Plane Figures, Simple and Compound

Solids - Isometric Projection of objects having non- isometric lines. Isometric Projection of

Spherical Parts, Transformation of Projections : Conversion of Isometric Views to

Orthographic Views - Conventions

TEXT BOOKS:

1. Engineering Drawing, N.D. Bhat / Charotar

REFERENCE BOOKS:

1. Engineering Drawing and Graphics, Venugopal / New age

2. Engineering Drawing, Narayana and Kannaiah / Scitech publishers

WORKSHOP PRACTICE

Course code: 17 ME 1003 L-T-P: 0-0-2

Pre Requisite: NIL Credits: 1

Mapping of Course Outcomes (CO) to Student outcomes:

CO

No: CO PO BTL

1 prepare the different joints using carpentary trade by using wood as raw

material 5 3

2 prepare the different fits using fitting trade with Ms plates as raw material 5 4

3 prepare the different components using Tinsmithy trade by using GI sheet

as raw material 5 4

4 Apply basic electrical engineering knowledge for house wiring practice. 5 3

Syllabus:

Carpentry: Hands on practice on wood working operation using hand tools, Fitting : Hands on

practice on preparing fits. Tin smithy: Hands on practice on sheet metal working. House

wiring-Hands on practice on House wiring connections

Trades for Demonstration

1. Demonstration on drilling machine, power hacksaw machine,griding machine.

2. Demonstration on welding machine.

List of Experiments

1. Preparation Of Lap Tee Joint Using Carpentry Trade

2. Preparation Of Martise And Tenon Joint Using Carpentary trade

3. Preparation Of Square Fit Using Fitting Trade

4. Preparation Of L –Fit Using Fitting Trade

5. Preparation Of Rectangular Tray Using Tin smithy Trade

6. Preparation Of Pipe- T- Joint Using Tin smithy Trade

7. Preparation Of Stair Case Connection Using House Wiring Trade

8. Preparation Of Godown Connection Using House Wiring Trade

9. Disassemble And Assemble The Pc Back To Working Condition

10. Demonstration On Power hack Saw, Grinding Machine, Drilling Machine

11. Demonstration On Welding Machine.

Text Books:

1. P.Kannaiah and K. L. Narayana “Engineering Practices Laboratory”,2009,SciTech

Publications, Chennai

Reference Books:

1. K. Venkata Reddy, “Workshop Practice Manual”, Sixth edition, 2011 print, BS Publications,

Hyderabad.

2. B S Nagendra Parashar and R K Mittal, “Elements of Manufacturing Process”, 2010 print,

Prentice Hall of India, New Delhi

SIGNALS AND SYSTEMS

Course Code: 17 EM 2102 L-T-P: 2-2-2

Prerequisite: Nil Credits: 4

Mapping of Course Outcomes (CO) to Student outcomes:

CO

NO Course Outcome

Mapped

PO B T L

1 Understand the representation, manipulation and operations of

discrete Time Signals and Systems and illustration of sampling

theorem.

PO2 1

2 Understand the Convolution and frequency domain representation of

Z- Transforms and its application to LTI systems

PO2 1

3 Analyze Discrete Time signals in Fourier and fast Fourier transforms

PO2 4

4 Realization of Digital Filters: IIR and FIR PO2 4

5 Apply and evaluate Signals and systems concept to various

applications under time domain and transform domain

PO5 5

SYLLABUS

1. Signals: Classifications of continues time Signals and operations. DT Sequences:

Representation of DT sequences, Some elementary DT sequences, Classification of discrete time

sequences and Elementary manipulation of DT sequences. DT Systems: Input-out-put

Description of Systems, Classification of DT systems: Linearity, Static, Time-Invariant,

Causality and Stability of systems. Interconnection of DT system. Advantages of DSP systems

over Analog processing systems. Sampling and Reconstruction: Graphical and analytical proof

of sampling theorem. Reconstruction of signal from its samples.

2. Analysis of LTI Systems:: The Convolution Sum. Properties of Convolution, Causality and

Stability of LTI systems in terms of impulse response. Frequency domain representation of

discrete time signals and systems: Discrete Time Fourier Transform (DTFT) and its Properties.

Z-transforms, System Function, Impulse Response, Causality and Stability of LTI systems in

terms of System Function. Applications of Z.Transforms: Solutions of Linear Constant

Coefficient Difference Equations.

3. Fourier Transformation of Discrete Time Sequences: Discrete Fourier Transforms (DFT): Introduction to DFT, Properties of DFT, Circular

convolution, Linear convolution using DFT, Computation of DFT Fast Fourier Transforms

(FFT): Introduction to FFT - Radix-2 Decimation in Time (DIT) and Decimation in Frequency

(DIF) FFT Algorithms, Inverse FFT using direct FFT.

4. Design and Realization of Digital IIR Filters: Digital Filter-IIR Design: Introduction,

properties of IIR filters. Design of Digital filters using Bilinear Transformation, Impulse

invariance Methods, Frequency Transformation in Analog and Digital Domains. Realization of

IIR system structures: Basic Elements of Digital Systems, Realization of Direct form

structures, Cascade form Structures and Parallel form structures.

5. Design of Digital FIR Filters: Digital Filter-FIR Design: Designing FIR filters using

Windowing Methods. Frequency Sampling Method, Comparison of IIR & FIR Filters.

Realization of FIR system structures: Realization of Direct Form, Transposed Direct Form,

Direct form for Linear-Phase FIR systems and Cascade Form structures.

TEXT BOOKS

1. John G. Proakis and Dimitris G. Manalakis, ‘Digital Signal Processing, principles,

algorithms and applications’, Pearson Prentice Hall, 2011.

2. Alan V. Oppenheim, Ronald W. Schafer, ‘Discrete-Time Signal Processing’, Pearson

Education Signal Processing Series, 2002.

3. Dimitris G. Manalakis and Vinay Ingle, “Applied Digital Signal Processing, theory and

practice’’, Cambridge University Press, New York, 2011.

4. Monson H. Hayes, ‘Digital Signal Processing’, Schaum’s Outline series, Tata McGraw-

Hill Publishing Company Limited, 2004.

REFERENCE TEXT BOOKS

1. Emmanuel C Ifechor, Digital Signal Processing, Pearson Education, 2nd Edition.

2. Andreas Antonious, “ Digital Signal Processing , Signals, Systems and Filters “ Mc-Graw

Hill,

3. Kumar, A. Anand, “Digital Signal Processing”, PHI.

4. Alan V. Oppenheium, Alan S. Willsky and Ian T. Young, ‘Signals and Systems’, Prentice

hall of India Private Limited, 1994.

SIMULATION TEXT BOOKS

1. Vinay . Ingle, John G Proakis, “Digital Signal Processing Using Matlab” ,Pearson

2. Nasser kehtarnavaz, Namjin kim, ”Digital Signal Processing System Level Design using

LabVIEW”, Elsevier.

3. E. S. Gopi, "Mathematical Summary for Digital Signal Processing Applications with

Matlab", Springer

OBJECT ORIENTED PROGRAMMING

Course code: 17 CS 2004 L-T-P: 2-2-2

Pre Requisite: NIL Credits: 4

Mapping of Course outcomes with Program outcomes

CO.NO. Course outcome's Mapped

PO/PSO

BTL

CO1 Understand Basic Concepts of OOP, introduction to

classes and objects through Java Language and apply.

2 3

CO2 Understand the concepts of constructors, Overloading,

parameter passing, access control, Inheritance and

apply.

2 3

CO3 Understand Packages, Interfaces, and Exception

Handling and apply.

2 4

CO4 Understand I/O Streams & apply and understand Basic

Concepts of Multi –Threading

5 5

CO5 Apply OOP concepts for developing an application 5/1 5

Syllabus:

Introduction: Object-Oriented Programming, OOP Principles, Encapsulation, Inheritance and

Polymorphism Java as a OOPs & Internet Enabled language, The Byte code, Data types,

Variables, Dynamic initialization, scope and life time of variables, Arrays, Operators, Control

statements, Type Conversion and Casting, Compiling and running of simple Java program.

Classes and Objects: Concepts of classes and objects, Declaring objects, Assigning Object

Reference Variables, Methods, Constructors, Access Control, Garbage Collection, Usage of

static with data and methods, usage of final with data, Overloading methods and constructors,

parameter passing - call by value, recursion, Nested classes. Inheritance: Inheritance Basics,

member access rules, Usage of super key word, forms of inheritance, Method Overriding,

Abstract classes, Dynamic method dispatch, Using final with inheritance, The Object class.

Packages and Interfaces: Packages, Classpath, Importing packages, differences between classes

and interfaces, Implementing & Applying interface. I/O Streams- file, byte streams, character

streams, Exception Handling: Exception Handling fundamentals, Types of Exceptions, Usage of

try and catch, throw, throws and finally keywords, Multithreading.

Text Books:

1. Herbert Schildt, “The Complete Reference Java2”, 7th edition TMH,(2002).

2. Timothy A. Budd, “An Introduction to Object-Oriented Programming”, 3/E, Pearson,

(2008).

Reference Books:

1. Jim Keogh, “The Complete Reference J2EE”, TMH, (2006).

2. Deitel & Deitel, “‘JAVA – How to program”, 6th edition, PHI,(2007).

Cay.S.Horstmann and Gary Cornell “Core Java 2, Vol 1, Fundamentals”, Seventh Edition,

Pearson Education.

DISCRETE MATHEMATICS

Course code: 17 CS 2005 L-T-P: 3-1-0

Pre Requisite: NIL Credits: 4

Mapping of Course outcomes with Program outcomes

CO.NO. Course outcome's Mapped

PO/PSO

BTL

CO1 Understand sets, relations, functions and discrete

structures , Count discrete event occurrences 1 3

CO2 Apply Propositional logic and First order logic to

solve problems 1 4

CO3 Formulate and solve recurrence relations, apply

algebraic structures and lattices. 5 4

CO4 To identify the basic properties of graphs and trees

and model simple applications 5 4

Syllabus:

The Foundations: Logic and Proofs: Propositional Logic, Applications of Propositional,

Propositional Equivalences, Predicates and Quantifiers, Nested Quantifiers, Rules of Inference,

Introduction to Proofs, Proof Methods and Strategy . Basic Structures: Sets, Functions,

Sequences, Sums, and Matrices: Sets , Set Operations , Functions, Sequences and Summations,

Cardinality of Sets, Matrices. Induction and Recursion Mathematical Induction, Strong

Induction and Well-Ordering, Recursive Definitions and Structural Induction, Recursive

Algorithms, Program Correctness. Counting: The Basics of Counting, The Pigeonhole Principle,

Permutations and Combinations, Binomial Coefficients and Identities, Generalized, Permutations

and Combinations, Generating Permutations and Combinations. Advanced Counting

Techniques: Applications of Recurrence Relations, Solving Linear Recurrence Relations,

Divide-and-Conquer Algorithms and Recurrence Relations, Generating Functions, Inclusion–

Exclusion , Applications of Inclusion–Exclusion. Relations: Relations and Their Properties, n-

ary Relations and Their Applications, Representing Relations, Closures of Relations,

Equivalence Relations, Partial Orderings,Lattices. Graphs: Graphs and Graph Models, Graph

Terminology and Special Types of Graphs, Representing Graphs and Graph Isomorphism,

Connectivity, Euler and Hamilton Paths, Shortest-Path Problems, Planar Graphs, Graph

Coloring. Trees: Introduction to Trees, Applications of Trees, Tree Traversal, Spanning Trees,

Minimum Spanning Trees. Algebraic Structures: Algebraic Systems-Semi Groups, Monoids-

Groups-Subgroups and Homomorphisms- Cosets and Lagrange’s Theorem- Ring and Fields

(Definitions and Examples).

Text Books:

1. Kenneth H. Rosen, “Discrete Mathematics and its Applications”, Special Indian Edition,

7th Edition, Tata Mcgraw-Hill Publisher, New Delhi.

2. Ralph P. Grimaldi, “Discrete and Combinatorial Mathematics: An Applied Introduction”,

4th Edition, Pearson Education Asia, Delhi, (2002).

Reference Books:

1. Joe L. Mott, Abraham Kandel, Theodare P. Baker ,”Discrete mathematics for computer

scientists and mathematicians” Second Edition, PHI.

2. Tremplay J P and Manohar R, “Discrete Mathematical Structures with Applications to

Computer Science”, Tata McGraw Hill Publishing Company Limited, New Delhi, (2007).

Thomas Koshy., "Discrete Mathematics with Applications", Elsevier Publications, (2006).

PROFESSIONAL CORE

COMPUTER ORGANIZATION

Course code :17EM2103 L – T – P: 2 – 2 - 2

Pre Requisite : NIL Credits: 4

Mapping of Course Outcomes (CO) to Student outcomes:

CO

NO Course Outcome Mapped PO

B T

L

1 Understand the logical gates to construct combinational &

sequential circuits to perform Arithmetic µ-Operations. PO3,PO5

1

2 Write Micro Programs for design of Control Unit PO3,PO5

2

3 Analyze operations like Multiplication, Floating Point

algorithms

PO3,PO5

4

4 Understand the Peripherals, I/O interface and Direct Memory

Access

PO3,PO5

1

5 Examine the functional verification of the digital circuits on Logisim PO3,PO5,PSO1

5

SYLLABUS:

Digital Logic Circuits: Digital Compute Logic Gate, Boolean Algebra, Maps

Simplification, Combinational Circuits, Flip Flops, Sequential Circuits Digital Components:

Integrated Circuits, Decoders, Multiplexers, Registers, Shift Registers, Binary Counter,

Memory Unit Data Representation: Divide Layer, Complement, Fixed Point Representation,

Floating Point Representation, Binary Codes, Error Codes.

Register Transfers and Micro Operations: Register Transfer Language, Register Transfer,

Bus and Memory Transfer, Arithmetic Microprocessors, Logic Microprocessors, Shift

Microprocessors, Arithmetic Logic Shift Unit.

Basic Computer Organization and Design: Internal Codes, Computer Register, Computer

Instructions, Timing & Control, Instruction Cycle, Memory Reference Instructions, Input-

Ouput and Interrupt

MicroProgrammed Control: Control Memory, Address Sequencing, Microprogramme Example,

Design of Control Unit

Central Processing Unit: General Register Organization, Stack Organization, Instruction

Formats, Addressing Modes, Data Transfer and Manipulation, Program Control, RISC.

Computer Arithmetic: Addition and Subtractions, Multiplication Algorithms, Division

Algorithms, Floating Point Arithmetic Operations, Decimal Arithmetic Unit, Decimal

Arithmetic Operations.

Input-Output Organization: Peripheral Devices, Input Output Interface, Asynchronous Data

Transfer, Modes of Transfers, Priority Interrupt, Discrete Memory Access, Input-Output

Memory Organization: Memory Hierarchy, Main Memory, Auxillary Memory, Associate

Memory, Cache Memory, Virtual Memory, Memory Management Hardware.

TEXT BOOK:

1. M. Morris Mano; Computer System Architecture, Third Edition, PHI

REFERENCE BOOK:

1. John P. Hyes; Computer Architecture and Organisation, 2nd Edition.

ELECTRONIC DEVICES AND CIRCUITS

Course code : 17EM2207 L – T – P: 2 – 2 - 2

Pre Requisite : NIL Credits: 4

Mapping of Course Outcomes (CO) to Student outcomes:

CO

NO Course Outcome

Mapped

PO B T L

1 Analyze the concepts of various diodes and their applications. PO3 4

2 Analyze BJT concepts as operation, biasing and frequency response PO3 4

3 Analyze FET concepts as operation, biasing and frequency response PO3 4

4 Analyze the usage of Power Amplifiers PO3 4

5 Develop applications involving the usage of Diodes,BJT,FET and power

amplifiers PO5 6

P-N Junctions: Diode theory, forward and reverse-biased junctions, reverse-bias breakdown,

load line analysis, diode applications, half wave & full wave rectification, Capacitor filters,

ripple factor,Voltage Multipliers & Peak Detector. Special purpose diodes - Zener diode,

Varactor, Light Emitting Diodes & LASER Diode.

Transistor biasing & stability: Configuration of Transistor CE,CB & CC, Q point, Self-Bias-

CE, Expression of voltage gain, current gain, input & output impedance, Emitter follower

circuits. Stability Factor of Transistor. FET: Configurations of FET, CS, CG & CD. Biasing of

JFET.MOSFET :Depletion and Enhancement MOSFET& Biasing of MOSFET.

Transistor amplifiers: Equivalent circuit of BJT & FET , Low frequency models of BJT and

FET.BJT and FET amplifiers, High frequency models for BJT and FET, Frequency response of

CS and CE amplifiers, Cascode amplifiers, Emitter follower..

Power amplifiers: Class A Common Emitter Power Amplifier,Transformer Coupled

Amplifier,Class B Push-Pull Power Amplifiers,Class AB, Class C, ,Class D

Amplifier,Conversion efficiency, Distortion.

Text books:

1. Muhammad H. Rashid, “Microelectronic Circuits Analysis and Design”, 2nd edition,

Cengage Learning.

2. Sedra & Smith, “Micro-Electronic Circuits theory and applications”, Oxford Press

Reference Books:

1.Jacob Millman & Christos C.Halkias, “Integrated Electronics”, Tata-McGraw Hill, 2ndEdition,

(2010).

2.Robert L. Boylestad and Louis Nashelsky, “Electronic Devices and Circuit Theory”, PHI. 9th

Edition.

LINEAR INTEGRATD CIRCUIT ANALYSIS

Course code :17EM3108 L – T – P: 2 –2 - 2

Pre Requisite:17EM2207 Credits: 4

Mapping of Course Outcomes (CO) to Student outcomes:

CO

NO Course Outcome

Mapped

PO B T L

1 Analyze the concepts of operational amplifiers and their applications. PO3 4

2 Analyze the concepts of various active filters and their applications PO3 4

3 Analyze the concepts of various Feedback amplifiers and their

applications PO3 4

4 Analyze the concepts of various data converters and their applications PO3 4

5 Develop applications involving the usage of opamps,filters,feedback

amplifiers and data converters PO5 6

SYLLABUS

Operational Amplifiers, Ideal characteristics. Applications of Op-amp: Inverting ,Non-

inverting, Voltage follower, Differentiator , Integrator I-V , V-I Converters Current

Amplifier , Differential Amplifier, Instrumentation Amplifier ,Log and antilog amplifiers.

Voltage Comparator, Schimtt Trigger, Sample and hold amplifier.

Active filters: First order and Second Order Low Pass Filter, High Pass Filter, Band Pass

Filter, Band Stop Filter and All Pass Filters. Multivibrators using opamps. 555 timer.

Triggering circuits for bistable and monostable multivibrators.

Feed Back Amplifier : Positive and Negative Feedback amplifier. Oscillators: Condition for

Sustained oscillation ,RC phase Shift Oscillators , Wein bridge ,Colpitts , Hartley and

Crystal Oscillators.

Data converters: A/D and D/A converters. PLL: Applications of PLL.Voltage References

and regulators: Performance specifications ,Regulators using Opamps. IC Regulators:

positive , negative and variable voltage regulator.

Text Books: 1. R.Gayakwad, Op-amps and Linear Integrated Circuits (4/e), PHID.

2. S.Franco, Design with Operational Amplifiers and Analog Integrated Circuits (3/e) TMH,

2003.

PROCESSORS AND CONTROLLERS

Course code :17EM2204 L – T – P: 2 – 2 - 2

Pre Requisite : 17EM2103 Credits: 4

Mapping of Course Outcomes (CO) to Student outcomes:

CO

NO Course Outcome Mapped PO

B T

L

1

Able to understand and analyze the architectural features of

CISC type of General purpose processor Intel 8086

Microprocessor.

PO2,PO5

2

2 Able to understand and analyze the architectural features of

CISC type of microcontroller - Intel 8051 Microcontroller. PO2,PO5

4

3

Able to program 8086 microprocessor, 8051 microcontrollers in

assembly language using TASM, KEIL, MPLAB and Proteus

tools

PO2,PO5

3

4 Able to Understand and analyze the architectural features of

Atmega processor. PO2,PO5

4

5 Able to Develop a real time application using 8051 &Atmega

processors through project based labs. PO2,PO5,PSO1

6

SYLLABUS:

8086 Microprocessor: Introduction to Microprocessor, Intel Microprocessor families ,8086

Microprocessor architecture, Register Organization, Pin Description, Physical Memory

Organization, Modes of operation. 8086 Instruction set & Assembly Language programming:

Addressing modes, Instruction set, Assembler directives, simple Programs, Procedures and

Macros, 8086 Interrupts. 8051 Microcontroller: Microcontroller families, 8051 Architecture,

Signal Description, Register organization, Internal RAM, Special Function Registers, Interrupt

control flow, Timer/Counter Operation, Serial Data Communication, and RS-232C

Standard.8051 Programming & Interfacing: Addressing modes, Instruction set, Simple Programs

involving Arithmetic and Logical Instructions, Timers/Counters, Serial Communication &

Interrupts. Interfacing: Matrix Key Board, Stepper Motor, LCD’s, DAC & ADC using 8051.

Introduction to Atmega Processors: Introduction, Atmega Processor, ports, Timers and

Counters, Status register, General purpose registers, Stack, Interrupt Vectors of ATmega

processor, serial ports, Memory map, ATmega Analog to digital converter.

TEXT BOOKS

1. D.V.Hall “Microprocessor and Interfacing”, 2nd Edition Tata McGraw Hill Publishing

Company,2006.

2.Mazidi & Mc Kinley “The 8051 Micro controller and Embedded systems: using assembles and

C, 2nd edition,2007.

3. B.Kanta Rao, “Embedded Systems” PHI, 2011

REFERENCE BOOKS

A.K. Ray & K. M Bhurchandi, “Advanced Microprocessors & peripherals”, Tata McHill

EMBEDDED SYSTEMS DESIGN

Course code : 17EM3106 L – T – P: 2 – 2 - 2

Pre Requisite : 17EM2204 Credits: 4

Mapping of Course Outcomes (CO) to Student outcomes:

CO

NO Course Outcome Mapped PO

B T

L

1 Able to analyze embedded systems and program on chip

peripherals for a single purpose controller PO3,PO5

4

2 Able to interface and program different off chip peripherals and

communication protocols used in embedded systems PO3,PO5

3

3 Able to understand, evaluate and select appropriate software

architectures PO3,PO5

5

4 Able to analyze and design embedded systems using the features

in real time operating systems. PO3,PO5

4

5 Able to develop a prototype for a real time embedded application

using project based labs. PO3,PO5,PSO1

6

Syllabus

ES Basics: Introduction to Embedded Systems: Definition, Comparison with Loaded Systems,

Challenges of Embedded systems, Application of Embedded Systems. Software development

process and tools, Testing and Debugging Techniques, Testing and Debugging Tools. Hardware

fundamentals: Power and decoupling, Open collector out puts, Tristate outputs, Signal loading

related issues, Memories type and selection, Processor types and selection, Timers, Counters,

Pulse width Modulators for speed control, LCD Controllers, Key Pad Controllers, Stepper motor

controllers, A/D Converters, Sensors and Actuators: Temp Sensors, Flow Control devices,

Humidity Control devices, Speed Control devices. Interfacing Sensors and Actuators with

microcontrollers. (With reference to Arduino platform.) Interfacing: I/O Addressing: Port Based

Addressing, Bus Based addressing, Interfacing Micro Processors through Interrupts, Shared data

problems Interrupt Latency and DMA. Overview of Serial Communication using RS232C, I2C,

CAN, USB, Wireless Communication using IrDA, Blue Tooth, 802.11g, and Parallel

Communication using PCI Bus, AMBA Bus. Software Architectures and RTOS: Overview of

Round Robin, Round Robin with Interrupts, Function Queue Scheduling, RTOS architectures

and selecting the architecture. Real Time Operating Systems: Tasks and Task data, Scheduler,

Reentrancy, Semaphores, Message Queues, Mail Boxes, Pipes, Timer Functions, Event

Handling, Memory Management, Interrupt Processing, and Power Saving Functions. Designing

Embedded Systems using RTOS: General Design Principles, Hardware and software CO design

and Real Time Scheduling Considerations,

Text books:

1. An Embedded Software Premier - David E- Simon, PEARSON Education

2. Embedded System Design - Frank Vahid / Tony Givargis, WILEY India

3. C Programming for Arduino”, Julien Bayle Packt Publishing, 2013 Edition.

Reference Books:

1. Embedded / real - time systems - DR.K.V.K.K.Prasad, dreamtech

2. Embedded Systems - Raj – Kamal, Second Edition TMH

3. The FreeRTOS™ Reference Manual”, © Real Time Engineers Ltd. 2016

FPGA BASED SYSTEM DESIGN

Course code :17EM3205 L – T – P: 2 – 2 - 2

Pre Requisite : 17EM2103 Credits: 4

Mapping of Course Outcomes (CO) to Student outcomes:

CO

NO Course Outcome

Mapped

PO B T L

1 Understand the basic concepts of Verilog programming PO2 1

2 Understand the Combinational & sequential logic circuits and

analyze them through test benches using Verilog HDL PO2 4

3 Understand FPGA based embedded processors architectures PO2 1

4 Understand signal conditioning and serial communication

protocols

PO2 1

5 Analyze the digital modules through project oriented approach PO5 4

Verilog Language Concepts: Verilog HDL, Elements of Verilog, Component Description in

Verilog, Test-benches, Characterizing Hardware Languages, Module Basics, Verilog Simulation

Model, Compiler Directives, System Tasks and Functions, RT Level Design. Combinational

circuit Description: Module Wires, Gate Level Logic, Hierarchical Structures, Describing

Expressions with Assign Statements, Behavioral Combinational Descriptions, Combinational

Synthesis. Sequential Circuit Description: Sequential Models, Basic Memory Components,

Functional Registers, State Machine Coding, Sequential Synthesis. FPGA based Embedded

Processors: FPGA and CPLD, Architecture of a FPGA, Floor Plan and Routing, Timing Model

for a FPGA, FPGA Power Usage, Hardware–Software Task Partitioning, FPGA Fabric

Immersed Processors, Interfacing Memory to the Processor, Interfacing Processor with

Peripherals, Design Re-use Using On-chip Bus Interface, Creating a Customized

Microcontroller, Robot Axis Position Control FPGA-based Signal Interfacing and

Conditioning: Serial Data Communication, Physical Layer for Serial Communication, Serial

Peripheral Interface (SPI), Signal Conditioning with FPGAs, Introduction to Motor Drives,

Digital Block Diagram for Robot Axis Control

Text Books:

1. Zainalabedin Navabi, Verilog Digital System Design RT Level Synthesis, Testbench and

Verification Second Edition McGraw-Hill Publications

2. Rahul Dubey , Introduction to Embedded System Design Using Field Programmable

Gate Arrays, Springer Publications, ISBN 978-1-84882-015-9

Reference Books:

1. Peter J. Ashenden, Digital Design An Embedded Systems Approach Using Verilog, MK

Publishers

2. Steve Kilts, Advanced FPGA Design Architecture, Implementation, and Optimization,

WILEY Publications

3. Ted Huffmire, Handbook of FPGA Design Security, Springer Publications

FUNDAMENTALS OF COMMUNICATION SYSTEMS

Course code : 17EM4109 L – T – P: 2 – 2 - 2

Pre Requisite : 17EM2102 Credits: 4

Mapping of Course Outcomes (CO) to Student outcomes:

CO

NO Course Outcome

Mapped

PO B T L

1 Understand the basics of Amplitude modulation PO1,PO2 2

2 Demonstrate the AM and FM transmitter and Receiver circuit PO1,PO2 2

3 Demonstration of PCM PO1,PO2 2

4 Discuss about different types of Keying Techniques in Digital

modulation

PO1,PO2 2

5 Verification of Analog nd Digital modulations PO1,PO2 4

Modulation techniques:

Block diagram of Analog and Digital Communication System, Linear Modulation,

,Continuous wave AM Generation and Demodulation of AM: DSB, DSB-SC, SSB and

VSB. Frequency Translation and Frequency-Division Multiplexing . Angel Modulation:

frequency and Phase modulation, narrow band and wide band F.M, Direct and indirect

methods of generation of F.M, demodulation of F.M wave.

Transmitters and Recievers: A.M Transmitter and F.M.Transmiter. Armstrong method

receiver, AM Superhetrodyne receivers , FM Super hetrodyne receivers.

Pulse modulation techniques Pulse Amplitude Modulation ,Bandwidth –Noise Trade-off,

Quantization process ,PCM,Noise Consideration in PCM Systems, TDM, Delta Modulation,

Differential Pulse Code Modulation, Adaptive pulse code modulation. Modulation and

Demodulation of PPM & PWM.

Data Transmission:Introduction , Amplitude Shift Keying, Frequency Shift Keying,

Phase Shift Keying, Differential Phase Shift Keying, Baseband Signal Receiver and

Probability of Error.

Text Books:

1.“ Communication System” – By Simon Haykin, 4th Edition,2009.

2. “Communication Systems” by Singh R.P. and Sapre S.D – TMH.

Reference Books: 1. “Analog and Digital Communications” – By Sam K.Shanmugam, Wiley,2009.

2. “Modern Digital & Analog Communication Systems” – By B.P. Lathi, 3rd Edition,2009

SOFTWARE ENGINEERING

Course code: 17 CS 2008 L-T-P: 3-1-0

Pre Requisite: 17 CS 2004 Credits: 4

COURSE OUTCOMES (CO’s):

Sno Course Outcome Mapped

PO/PSO

BTL’s

CO1 Identify software evolution and software development life

cycle with associated process models by emphasizing

agile methodology including modeling core principles

1 3

CO2 Demonstrate the concepts of requirement modeling

carrying out the analysis and basic design model with a

case study

4,2,8 3

CO3 Classify Software Architecture, Software design and

Demonstrate User Interface for an application using golden

rules of HCI

4,2 4

CO4 Evaluate testing strategies and software quality assurance for a

given case study.

2 5

SYLLABUS:

Software and software engineering: Nature of software, software application domains, unique

nature of web applications, software engineering, software process, software engineering

practices, software myths. Process models: Generic process models, perspective models, product

and process. Agile development: Agility, agile process, extreme programming and other agile

process models. Modeling: Core Principles, principles that guide each framework activity,

Understanding requirements: identifying stakeholders, eliciting requirements, building

requirement model, negotiating and validation requirements, Requirement Modeling Design

Concepts: Design process, Concepts and models. Architecture design: software architectures,

architecture styles and designs, architectural mapping using dataflow. User Interface design: The

golden rules, User interface analysis and design. Software testing: A strategic approach to

software testing, strategic issues, test strategies for conventional software, Black-Box and White-

Box testing, validation testing, system testing. SPI, CMMI. Software quality assurance: Elements

of software quality assurance, sqa tasks, goals.

Text Books:

1.Roger S.Pressman ,”Software Engineering – A Practitioner’s Approach 7th Edition,Mc Graw

Hill,(2010).

Reference Books:

1.Ian Sommerville, ‘Software Engineering’, Sixth Edition, Pearson Education,(2001).

2. Craig Larman, “Applying UML and Patterns: An introduction to OOAD and design and

interface deployment”, Pearson, (2002).

3. Stephen R.Schach, “Software Engineering”, Tata McGraw-Hill Publishing Company

Limited, (2007).

DATABASE MANAGEMENT SYSTEM

Course code: 17 CS 2210 L-T-P: 2-2-2

Pre Requisite: 17 CS 1102 Credits: 4

Mapping of Course outcomes with Program outcomes

CO.NO. Course outcome's Mapped PO/PSO BTL

CO1 Illustrate the functional components of the DBMS,

importance of modeling in design of a database 4 1

CO2 Build queries using SQL and concepts of relational

algebra 3,4 3

CO3 Apply normalization techniques and indexing to

construct and access decent database 4 4

CO4 Understand importance of transaction processing and

concurrency control 4 2

CO5 Create a good database and develop SQL queries for

data analysis 4,5/1 6

SYLLABUS:

Database Fundamentals: DBMS Characteristics & Advantages, Database Environment,

Database Users, Database Architecture, Data Independence, Languages, Tools and Interface in

DBMS, DBMS types

Data Modelling: ER Model, Notation used in ER Diagram, Constraint, Types, Relationships in

ER Model and other considerations in designing ER diagram. Enhanced ER data Model, EER

Diagram, Specialization and Generalization, Lattice, Union, Disjoint Properties, Constraints and

relationships, Other issues in designing EER diagrams, Relational Model, Relational Algebra,

Operators in relational algebra, Algorithms for ER to relational mapping.

SQL: Data Definition and other languages in SQL, Creating tables and Data types, Constraints,

DML statements, Functions and writing SQL statements using nested sub queries, complex

queries, joining relations, Security: access control via database views.

Database Design: Guidelines for good database design, Normalization- Normal Forms, First,

Second, Third Normal Forms, BCNF, Multi value and join dependencies, 4th and 5th normal

forms. Decomposition algorithms for normalization. File and storage structures: File storage,

Index structures, Indexing and hashing. Query Processing: Issues in query processing, simple

algorithms for insert, project, join and other operators.

Transaction Processing: Transaction processing issues, Transaction states, problems during

multiple transactions processing, ACID properties, system log and concurrency control

techniques: binary locks, exclusive locks, Lock based techniques, and Timestamp based

techniques, versioning in locks, Multi-version locking techniques.

Text Books:

1.Elmasri and Navathe, ‘Fundamentals of Database Systems’, 6th edition, Pearson Education,

(2008).

2.A. Silberschatz, Henry F Korth, S. Sudarshan, “Database System Concepts:,Fifth Edition, Tata

McGraw-Hill,(2003).

Reference Books:

1.Raghu Ramakrishnan, Johannes Gehrke, “Database Management Systems”, second Edition,

Tata McGraw Hill, (2004).

DESIGN AND ANALYSIS OF ALGORITHMS

Course code: 17 CS 2211 L-T-P: 2-2-2

Pre Requisite: 17 CS 1102 Credits: 4

Mapping of Course outcomes with Program outcomes

CO

No

Course Outcome

(CO)

Mapped

PO/PSO

Blooms

Taxonomy

Level

(BTL)

1

Understand time and space complexity, analyze

complexity for problems solvable by divide and

conquer technique 2 2

2 Apply greedy and dynamic algorithm design

methodologies to solve problems. 5 4

3 Apply state space tree methods for solving searching

problems. 2 4

4 Distinguish between P and NP classes of problems and

solve complex problems 2 4

5 Apply algorithm design techniques to solve any real

world problems 5/1 5

SYLLABUS:

Introduction: Definition of an Algorithm- Algorithm Specification - Analysis of Algorithm.

Divide and Conquer: Merge Sort-Quick Sort- Strassen’s Matrix Multiplication – Convex Hull.

Greedy Method: The General Method-Job Sequencing with Deadlines- Knapsack Problem-

Minimum Cost Spanning Trees- Huffman Codes -Single Source Shortest Path Method. Dynamic

Programming: The General Method- Optimal Binary Search Tree- 0/1 Knapsack-Traveling

Sales Person Problem. Ford Fulkerson. Backtracking: The Eight Queens Problem - Sum Of

Subset Problem - Graph Coloring - Knapsack Problem. Branch and Bound: 0/I Knapsack

Problem- Traveling Sales Person Problem- NP Hard and NP Complete Problems: Basic

Concepts- Cook’s Theorem-NP Hard Graph Problems- CDP, NCDP, AOG.. PRAM

Algorithms: Merging-Sorting. String Algorithms.

TEXT BOOKS:

1. Ellis Horowitz, Sartaj Sahni and Sanguthevar Rajasekaran, “Fundamentals of Computer

Algorithms”, 2nd Edition, University Press, 2008.

2. Cormen, Leizerson & Rivest, “Introduction to algorithms”, 3rd Edition, Prentice-Hall,

2002.

3. Jon Kleinberg and Eva Tardos, “Algorithm Design”, Pearson Education, 2006.

REFERENCE BOOKS:

1. Robert Sedgewick and Kevin wayne ,”Algorithms”, 4th edition,Addison Wesley Prof.,

(2011).

2. Anny Levitin, “Introduction to Design and Analysis of Algorithms”, 2rd Edition, Person

Education Press. (2007).

3. Michael T.Goodrich and Roberto Tamassia, Algorithm Design: Foundations, Analysis and

Internet Examples, Second Edition, Wiley-India, (200)6. Steven S. Skiena, “The Algorithm Design Manual”, Second Edition, Springer, (2008)

OPERATING SYSTEMS

Course code: 17 CS 3113 L-T-P: 2-2-2

Pre Requisite: 17 CS 2209/ 17 EM 2102 Credits: 4

Mapping of Course Outcomes with Program Outcomes

CO Course Outcomes Mapped

PO

BTL

CO1 Explain Operating System Concepts and Evaluation of

Operating Systems 1,2 1

CO2

Illustrate a process, synchronization of process and

IPC. Implement algorithms for Deadlocks using

Banker’s Algorithm

4 3

CO3 Demonstrate paging techniques and Implement

Virtual Memory using Page Replacement Algorithms

4 3

CO4 Implement the File management process in OS 2 4

CO5 Develop Application Programs using UNIX System

Calls (Lab Component) 5/1 6

Syllabus:

Introduction to OS , types of OS, OS structure, OS services, user OS interfaces, system calls and

their types, virtual machine, schedulers, context switching, scheduling algorithms, Inter process

Communication (IPC), Shared Memory, Pipes, Queues, Sockets.

Process, Synchronization of Processes, Condition Variables, Semaphores, Common Concurrency

Problems, Locks, Threads, Dead Locks & Banker's Algorithm

Memory Management, Paging, Segmentation, Virtualization, Virtual Memory, Page

Replacement Algorithms.

File management, I/O Devices, Hard Disk Drives, Redundant Disk Arrays Files and Directories,

File system implementation.

Text Books:

1. Operating System Concepts by Abraham Silberschatz, Peter Baer Galvin and Greg

Gagne, 9th Edition, John Wiley & Sons Inc.(Year Meet)

2. UNIX Internals – The New Frontiers by UreshVahalia, Pearson Edition (2006)

Reference Books:

1. Modern Operating Systems by Andrew S Tanenbaum, Prentice Hall

2. Operating Systems by William Stallings 4th Edition (2013)

3. Operating Systems: Three Easy Pieces, Remzi H. Arpaci-Dusseau and Andrea C.

Arpaci-Dusseau, Arpaci-Dusseau Books, May- 2014.

COMPUTER NETWORKS Course code: 17 CS 3114 L-T-P: 3-0-2

Pre Requisite: NIL Credits: 4

CO No Course Outcome Mapped PO/PSO

BTL

CO 1 Understand the basics of networking and function of physical Layer 1 2

CO 2 Understand the functions of Data Link Layer and apply the principles into program practice.

1,2 2

CO 3 Understand the functions of Network layer and use routing algorithms into program practice.

1,2 2

CO 4 Apply the Transport and application layer principles into programming. 2 3 CO 5 Experiment with Networking programs 2 5

Syllabus: Use of Computer Networks, Network Hardware, Network software, Reference models, Example Networks Physical Layer: The theoretical basis for Data Communication, Guided Transmission media, Modems, ADSL, Trunks and Multiplexing, switching Data Link Layer: DLL design issues. Error Detection and Correction, Elementary data link protocols, sliding window protocols. Medium Access Control Sub layer: Channel allocation problem, multiple access protocols, Ethernet, Data link Layer switching Network Layer: Network layer design issues, Routing algorithms, congestion control algorithms, Quality of service, Internetworking, network layer in the Internet Transport Layer: Transport service, Elements of transport protocols, Internet transport protocols:TCP&UDP,Performance Issues Application Layer: Domain Name System, Electronic Mail, World Wide Web. Text Books:

1. Andrew S. Tanenbaum, David J. Wetherall, Computer Networks, Prentice Hall, Fifth Edition. 2011

2. Behrouz A. Fourouzan, TCP/IP Protocol Suite, Tata McGraw Hill, Third Edition, 2006.

Reference Books: 1.James F. Kurose, Keith W. Ross, “Computer Networking:A Top-Down Approach”, Pearson

Education, 2012. 2. William Stallings, Data and Computer Communications, 7/e, Pearson Edition, ,2007 3.John Goerzon, Tim bower, Brandon Rhodes, foundation of python network

programming,2010, edition 2, publisher:Apress

INTERNET PROGRAMMING

Course code : 17EM3110 L – T – P: 2 – 2 - 2

Pre Requisite : 17CS2004 Credits: 4

Mapping of Course Outcomes (CO) to Student outcomes:

CO

NO Course Outcome Mapped PO B T L

1 Able to create Static Web pages using basic HTML & apply CSS PO2,PO5 6

2 Able to apply javascript features for form validations and event

handling

PO2,PO5 3

3 Able to create databases using MYSQL and apply JDBC

concepts to connect to a database.

PO2,PO5 6

4 Able to create dynamic web pages using servlets & JSP PO2,PO5 6

5

Must be able to design WEB site considering the user interface,

navigation and interaction with database using project based

LABS

PO2,PO5,PSO2 6

SYLLABUS:

Introduction to HTML5: Headings, Linking, Images, Lists, Tables, Frames, Forms and Input

types.Cascading Style Sheets (CSS3): Inline Styles, Embedded Style Sheets, Linking External

Style Sheets, Positioning Elements.JavaScript: Control Statements-(if, if-else, switch, while, do-

while, for), Document Object Model –objects and collections, Event Handling, Introduction to

JQuery, XMLDatabase Access with JDBC: JDBC architecture, Connection Object, Working

with statements, Creating and executing SQL statements, working with Result Set.Servlets &

Java Server Pages: Servlet Basics: Handling the Client Request, Generating the Server

Response, Overview of JSP Technology, JSP Scripting Elements, Implicit Objects, Accessing

MYSQL Database with JDBC.

Text Books :

1.Deitel & Deitel & Nieto, “Internet & World Wide Web – How to Program”, PEA, Fifth

Edition.2010.

2.Falkner & Jones," Servlets and Java Server Pages: The J2EE Technology Web Tier", 1/e,

Addison-Wesley Professional,2008.

Reference Books:

1.Chris Bates, “Web Programming Building Internet Applications”, 3rd Edition, Wiley India,

2006.

2.Anders Moller, Michael Schwartzbach, “An Introduction to XML and Web Technologies”, 1st

Edition, Pearson Education, 2006.

3.Ivan BayRoss, “Web Enabled Commercial Application Development using HTML, DHTML,

JavaScript, Perl”, BPB Publication, 3rd Edition, 2005.

4.Uttam K Roy, “Web Technologies”, OXFORD University Press, 2012.

5.“Advanced Java 2 Platform -HOW TO PROGRAM” by H. M.Deitel, P. J. Deitel, S. E. Santry

– Prentice Hall.

6.“Beginning Java™ EE 6 Platform with GlassFish 3 From Novice to Professional” by Antonio

Goncalves - Apress publication.

AUTOMATA AND COMPILER DESIGN

Course code : 17EM3211 L – T – P: 2 – 2 - 2

Pre Requisite : 17CS2005 Credits: 4

Mapping of Course Outcomes (CO) to Student outcomes:

CO

NO Course Outcome

Mapped

PO B T L

1 Able to analyze formal languages, Grammars and finite automata PO1,PO5 4

2 Able to analyze the grammar based on top down and bottom up

parser.

PO1,PO5 4

3 Able to understand SDT and generate intermediate code PO1,PO5 1

4 Able to apply code optimization techniques PO1,PO5 3

5 Able to Analyze various phases of compiler through project based

labs

PO1,PO5 4

SYLLABUS:

Formal Language and Regular Expressions : Languages, Definition Languages regular

expressions, Finite Automata - DFA, NFA. Conversion of regular expression to NFA, NFA to

DFA. Applications of Finite Automata to lexical analysis, lex tools.Context Free grammars

and parsing : Context free grammars, derivation, parse trees, ambiguity LL(K) grammars and

LL(1) parsing. Bottom up parsing handle pruning LR Grammar Parsing, LALR parsing, parsing

ambiguous grammars.Syntax directed translation, S-attributed and L-attributed grammars,

Intermediate code - abstract syntax tree, translation of simple statements and control flow

statements. Context Sensitive features - Chomsky hierarchy of languages and recognizers. Type

checking, type conversions, equivalence of type expressions, overloading of functions and

operations. Run time storage : Storage organization, storage allocation strategies scope access

to now local names, parameters, language facilities for dynamics storage allocation. Code

optimization : Principal sources of optimization, optimization of basic blocks, peephole

optimization, flow graphs, Data flow analysis of flow graphs. Code generation : Machine

dependent code generation, object code forms, generic code generation algorithm, Register

allocation and assignment. Using DAG representation of Block.

TEXT BOOKS :

1. Introduction to Theory of computation. Sipser,2nd Edition,Thomson.,2009.

2. Compilers Principles, Techniques and Tools Aho, Ullman, Ravisethi, Pearson Education,2009.

REFERENCES :

1. Introduction Automata theory and formal languages, and computation, John E Hopcraft and

JD Ullman,2007.

2. Modern Compiler Construction in C , Andrew W.Appel Cambridge University Press.,2005.

3. Compiler Construction, LOUDEN, Thomson,2006.

NETWORK SECURITY

Course code :17EM3112 L – T – P: 2 – 2 - 2

Pre Requisite : 17CS3114 Credits: 4

Mapping of Course Outcomes (CO) to Student outcomes:

CO

NO Course Outcome Mapped SO

B T

L

1 Apply Symmetric key cryptography techniques to encrypt and decrypt

data PO1 3

2 Apply public key cryptography techniques to encrypt and decrypt data PO1 3

3 Apply Hash Function and Digital Signature to authenticate the data PO1 3

4 Understand basic network and system level security concepts PO1 1

5 Develop applications involving protection of data using symmetric

key,public key ,MAC and Digital signature techniques. PO2,PO5,PSO2 6

SYLLABUS:

INTRODUCTION OSI Security Architecture - Classical Encryption techniques – Cipher

Principles – Data Encryption Standard – Block Cipher Design Principles and Modes of

Operation - Evaluation criteria for AES – AES Cipher – Triple DES – Placement of Encryption

Function – Traffic Confidentiality.

PUBLIC KEY CRYPTOGRAPHY :Key Management - Diffie-Hellman key Exchange – Elliptic

Curve Architecture and Cryptography - Introduction to Number Theory – Confidentiality using

Symmetric Encryption – Public Key Cryptography and RSA

AUTHENTICATION AND HASH FUNCTION :Authentication requirements –

Authentication functions – Message Authentication Codes – Hash Functions – Security of Hash

Functions and MACs – MD5 message Digest algorithm – Secure Hash Algorithm – RIPEMD –

HMAC Digital Signatures – Authentication Protocols – Digital Signature Standard.

NETWORK SECURITY :Authentication Applications: Kerberos – X.509 Authentication

Service – Electronic Mail Security – PGP – S/MIME – IP Security – Web Security

SYSTEM LEVEL SECURITY :Intrusion detection – password management – Viruses and

related Threats – Virus Counter measures – Firewall Design Principles – Trusted Systems

Text Books :

1.William Stallings, “Cryptography and Network Security,” 5th Edition, Pearson Education,

(2010).

2. William Stallings, “Network Security and Essentials: Applications and Standards,” 3rd Edition,

Pearson Education.

Reference Books:

1. Wenbo Mao, “Modern Cryptography: Theory and Practice”, 1st Edition, Pearson, (2003).

2.Neal Koblitz, “A Course on Number Theory & Cryptography,” 2nd Edition, Springer, (1994).

3.Forouzon B, “Cryptography and Network Security,” Indian Edition, TMH,(2010).

4.Bruice Schneier, “Applied Cryptography”, 2nd Edition, Wiley,(2007).

PROFESSIONAL ELECTIVES

EMBEDDED SYSTEMS STREAM

ADVANCED EMBEDDED PROCESSOR ARCHITECTURES

Course code : 17 EM 3251 L – T – P: 3 –0 - 0

Pre Requisite :17EM3106 Credits: 3

Mapping of course outcomes with student outcomes:

C.O.

No. Course outcome Mapped PO

BTL

CO1 Able to understand and analyze the 3 and 5 stage pipelines of

ARM and able to program the ARM processor. PO6,PO5,PSO1

2

CO2 Able to program the on chip & off chip peripherals of ARM 7

controller. PO6,PO5,PSO1

3

CO3 Understand and analyze the AMBA bus architecture and

different advanced ARM cores. PO6,PO5,PSO1

4

CO4 Able to analyze the different SOC applications using ARM

cores. PO6,PO5,PSO1

4

SYLLABUS:

ARM Processor as System-on-Chip: Acorn RISC Machine – Architecture inheritance – ARM

programming model – ARM development tools – 3 and 5 stage pipeline ARM organization –

ARM instruction execution and implementation – ARM Co-processor interface. ARM

Assembly Language Programming: ARM instruction types – data transfer, data processing

and control flow instructions – ARM instruction set – Co-processor instructions, Thumb

Instruction set. Architectural Support for System Development: Advanced Microcontroller

bus architecture – ARM memory interface – ARM reference peripheral specification –

Hardware system prototyping tools – ARMulator – Debug architecture. ARM Processor

Cores: ARM7TDMI, ARM8, ARM9TDMI, ARM10TDMI, The AMULET Asynchronous

ARM Processors-AMULET1. Embedded ARM Applications: The VLSI Ruby II Advanced

Communication Processor, The VLSI ISDN Subscriber Processor, The OneCTM VWS22100

GSM chip, The Ericssion-VLSI Bluetooth Baseband Controller, The ARM7500 and

ARM7500FE

Text Books

1.ARM System on Chip Architecture – Steve Furber – 2nd ed., 2000,Addison Wesley

Professional.

2.Design of System on a Chip: Devices and Components – Ricardo Reis, 1st ed., 2004, Springer

Reference Books

1. Co-Verification of Hardware and Software for ARM System on Chip Design (Embedded

Technology) – Jason Andrews – Newnes, BK and CDROM,2005.

2. System on Chip Verification – Methodologies and Techniques –Prakash Rashinkar, Peter

Paterson and Leena Singh L, 2001,Kluwer Academic Publishers.

EMBEDDED LINUX

Course code :17 EM 4154 L – T – P : 3– 0- 0

Pre Requisite : 17EM3106 Credits : 3

Mapping of course outcomes with student outcomes:

C.O.

No. Course outcome Mapped PO

BTL

CO1 Able to understand embedded Linux development environment,

understand and create Linux BSP for a hardware platform. PO5,PO12,PSO1

2

CO2 Able to program different embedded storage devices PO5,PO12,PSO1 3

CO3

Able to understand the Linux model for embedded storage,

understand and write various embedded Linux drivers such as

serial, I2C, and so on. PO5,PO12,PSO1

3

CO 4 Able to port applications to embedded Linux and write real –

time applications in embedded Linux. PO5,PO12,PSO1

6

SYLLABUS:

Introduction: History of Embedded Linux, Embedded Linux versus Desktop Linux,

Embedded Linux Distributions, Architecture of Embedded Linux, Linux Kernel Architecture,

Linux Start-Up Sequence, GNU Cross-p\Platform Tool chain. Board Support Package:

Inserting BSP in Kernel Build Procedure, Boot Loader Interface, Memory Map, Interrupt

Management, PCI Subsystem, Timers, UART, and Power Management.

Embedded Storage: Flash Map, MTD—Memory Technology Device, MTD Architecture,

Flash-Mapping Drivers, MTD Block and Character devices, Embedded File systems,

Optimizing Storage Space.

Embedded Drivers: Linux Serial Driver, Ethernet Driver, I2C subsystem on Linux, USB

Gadgets, Watchdog Timer, and Kernel Modules.

Porting Applications: Architectural Comparison, Application Porting Road Map,

Programming with Pthreads, Operating System Porting Layer (OSPL), Kernel API Driver.

Real-Time Linux: Linux and Real-Time, Real-Time Programming in Linux, Hard Real-Time

Linux.

Text Books:

1.Embedded Linux System Design and Development, P.Raghavan, Amol Lad, SriramNeelakandan,

2006, Auerbach Publications

Reference Books:

Embedded Linux – Hardware, Software and Interfacing,2006.

NETWORKING OF EMBEDDED SYSTEMS Course code :17 EM 4155 L – T – P : 3 – 0 - 0

Pre Requisite : 17EM3106 Credits :3

Mapping of course outcomes with student outcomes:

C.O.

No. Course outcome Mapped PO

BTL

CO1 Able to understand and develop applications using Rs-232C,

RS-485 and SPI communication protocols. PO6,PO5,PSO1

2

CO2 Able to understand and develop applications using I2C, USB

communication protocols. PO6,PO5,PSO1 2

CO3 Able to understand and develop applications using CAN

communication protocols PO6,PO5,PSO1 2

CO4 Able to understand and analyze different wireless

communication protocols used in Embedded Systems. PO6,PO5,PSO1 4

SYLLABUS:

Networking through Native Serial Communications Systems: RS232 Standard: Features,

Configuring UART port of 8051 and LPC 2148 and developing an application. RS 485:

Features, Transmission Protocol, Developing an application using RS485 protocol. Synchronous

Serial Protocols: Serial Peripheral Interface (SPI) – Features, Master Slave Configuration,

Functional Discrepiction, SPL Developing an application using SPI communication interface.

Networking through Inter Integrated Communication (I2C): Drawbacks of RS232C,

Features of I2C Starting and Stopping Communication, Receiving data from the Master,

Interfacing devices on to the Bus, Acknowledging and Negative acknowledging, Arbitration and

Synchronization, Addressing, Developing Applications using PIC based Microcontrollers.

Networking through USB bus: Features of USB, Upward and Downward communications,

USB device Identification, Speed Identification, Monitoring status of USB bus, Data Packet

Identification, USB based data flow methods, Enumeration process for Interfacing USB devices

on to the Bus, Configuring Descriptors, and Developing application using USB. Networking

through CAN Bus – Features of CAN Protocols, Differentiating Data on CAN Bus, Bus

Termination, CAN Communication Standard, Message Frames, Arbitration methods, Frame

overloading, Bit stuffing, CAN identified errors, Normal Bit timing Computational Method,

CAN Based Synchronization, Application development using PIC. Wireless Embedded

Networking: Overview on wireless communication systems covering Wi-Fi, Bluetooth, Zigbee,

NFC, Hi-Fi. Wireless sensor networks: Introduction, Applications, Network Topology,

Localization, Time Synchronization, Energy efficient MAC protocols, SMAC, Energy efficient

and robust routing, Data Centric routing

TEXT BOOKS:

1. Frank Vahid, Givargis ‘Embedded Systems Design: A Unified Hardware/Software

Introduction’, Wiley Publications,2007.

2. Dogan Ibrahim, ‘Advanced PIC microcontroller projects in C’, Elsevier 2008

Reference Books:

1. Bhaskar Krishnamachari, ‘Networking wireless sensors’, Cambridge press 2005

SYSTEM ON CHIP ARCHITECTURES Course code :17 EM 4156 L – T – P : 3- 0- 0

Pre Requisite : 17EM3106 Credits : 3

Mapping of course outcomes with student outcomes:

C.O.

No. Course outcome Mapped PO

BTL

CO1

Able to understand and analyze different Design and Validation

methodologies for logic cores such as memories, analog devices

and SoCs. PO5,PO7,PSO1

4

CO2 Able to understand On chip Communication Architecture

Standards PO5,PO7,PSO1

2

CO3 Able to analyze security issues of On chip Communication

Architecture standards PO5,PO7,PSO1

4

CO4 Able to understand and analyze different topologies of Networks

on Chip. PO5,PO7,PSO1

4

SYLLABUS:

Introduction, Design Methodology for Logic cores : SoC Design flow, General guide lines for

design reuse, design process for soft, firm and hard cores, system integration. Design

Methodology for Memory Cores and Analog cores: Design methodology for embedded

memories, specifications of analog circuits.

Design Validation: core level validation, core interface verification, SoC design validation.

On-chip communication Architectures: A quick overlook, Basic concepts of bus based

communication Architectures: Terminology, characteristics of Bus based communication

architectures, data transfer modes, Bus topology types.

On chip Communication Architecture Standard: standard on chip bus based communication

architectures; socket based on chip interface standards.

Verification and security Issues in On chip communication Architectures: verification of

on chip communication protocols, compliance verification for IP block integration, basic

concepts for SoC security, security support in standard bus protocols,

Networks on chip: network topology, switching strategies, routing algorithms, flow control,

clocking schemes, NOC architectures.

Text Books:

1. System On a Chip Design and Test? by Rochit Rajsuman, Library of Congress

Cataloging-in-Publication Data,2000.

2. On chip communication Architectures? by Sudeep Pasricha and Nikil Dutt , Morgan

Kaufmann Publishers,2008

HARDWARE SOFTWARE CO-DESIGN Course code :17 EM 4157 L – T – P : 3 – 0 - 0

Pre Requisite : 17EM3106 Credits : 3

Mapping of course outcomes with student outcomes:

C.O.

No. Course outcome Mapped PO

BTL

CO1 Understand and Analyze the co-design models like FSM, DFG

and target architectures and use the tools required for PO12,PO5,PSO1

3

designing the hardware and software models

CO2 Analyze Validation and Verification Techniques, design

specification for embedded processor architectures PO12,PO5,PSO1

4

CO3 Analyze the compilation techniques and tools for embedded

processor architectures PO12,PO5,PSO1

4

CO4 Understand the standard design methods like COSYMA

system and LYCOS systems. PO12,PO5,PSO1

1

SYLLABUS:

Introduction to HW-SW Co- Design: Meaning of HW-SW co-design, Co- Design Models,

Architectures, Languages, A Generic Co-design Methodology. HW-SW Co-Synthesis.

Co- Synthesis Algorithms: Hardware software synthesis algorithms: hardware – Algorithms for

software partitioning distributed system co-synthesis.

Prototyping and Emulation: Prototyping and emulation techniques, prototyping and emulation

environments, future developments in emulation and prototyping.

Target Architectures: Architecture Specialization techniques, System Communication

infrastructure, Target Architecture and Application System classes, Architecture for control

dominated systems (8051-Architectures for High performance control), Architecture for Data

dominated systems (ADSP21060, TMS320C60), Mixed Systems.

Compilation Techniques and Tools for Embedded Processor Architectures: Modern

embedded architectures, embedded software development needs, compilation technologies

practical consideration in a compiler development environment.

Design Specification and Verification: Design Specification: Design, co-design, the co-design

computational model, concurrency coordinating, concurrent computations, interfacing

components, Verification: Design verification, implementation verification, verification tools,

interface verification

Languages for System – Level Specification and Design for homogenous systems System –

level specification, design representation for system level synthesis, system level specification

languages.

Languages for System – Level Specification and Design in respect of heterogeneous

systems, Heterogeneous specifications and multi-language co-simulation the cosyma system

and lycos system.

Text Books:

1.Hardware / software co- design Principles and Practice – Jorgen Staunstrup, Wayne Wolf –

2009, Springer.

2.Hardware / software co- design Principles and Practice, 2002, kluwer academic publishers

WIRELESS SENSOR STREAM

SENSORS AND SENSING PRINCIPLES

Course code : 17 EM 3252 L – T – P : 3 – 0 - 0

Pre Requisite :17CS3114 Credits : 3

Mapping of course outcomes with student outcomes:

C.O.

No. Course outcome Mapped PO

BTL

CO1 Able to understand and analyze the sensor fundamentals, principles PO7,PO12 2

and characteristics

CO2 Understand the application of various physical and Chemical

sensors PO7,PO12 2

CO3 Understand the application of various optical sensors PO7,PO12 2

CO4 Able to understand the different bio sensors and its limitations. PO7,PO12 2

SYLLABUS

Sensor Fundamentals: Basic sensor technology -sensor characteristics –static and dynamic –

Principles of sensing- capacitance- magnetic and electromagnetic induction –resistance –

piezoelectric effect –Pyroelectric effect -Hall effect- See beck and Pettier effect-heat transfer-

light. Sensor Characteristics: Analysis of experimental data: causes and types of experimental

errors – statistical analysis of experimental data –method of least squares –correlation

coefficient, multivariable regression – graphical analysis and curve fitting. Physical /Chemical

sensors: Position, Displacement and Level sensors, Velocity and Acceleration sensors, Force,

Strain, Tactile and pressure sensors. Classification of chemical sensing Mechanism,

Potentiometric sensors, Conduct metric Sensors, Amperometric Sensors, Enhanced Catalytic gas

Sensors. Optical Sensors: Optical Radiation- Electromagnetic Spectrum, Snell’s Law and Total

internal reflection, Diffraction principles, Optical Detectors and Sources-Photo diodes and

transistors, Photo-darling ton pairs, Photoconductive sensors, CCD sensors, Fiber optic sensors.

Solid state light sources- LED , Diode lasers, Semiconductor laser optical cavity resonator. Bio

sensors Origin and Transmission of bioelectrical Signals, The Electromyogram (EMG) & the

Electrocardiogram (ECG) The Electroencephalogram (EEG) & Blood pressure measurement,

Catalytic biosensors, mono-enzyme electrodes, bi-enzyme electrodes. cell based biosensors,

biochips and biosensor arrays, problems and limitations.

Text books:

1. Biosensor Principles and Applications, Edited by Loïc J.Blum, Pierre R. Coulet Agarwal,

Govind P, “fiber Optic Communication Systems”, 2nd edition, Wiley, NewYork,1997

2. Principles of Biochemistry Albert L.Lehninger, David Lee Nelson,Michael M. 2005, Fourth

Edition.

3. Sensors and Transducers D. Patranabis Prentice-Hall of India Pvt.Ltd August 15, 2004

4.Jacob Fraden, “ Hand Book of Modern Sensors: physics, Designs and

Applications”,3rded.,Springer,2003.

WIRELESS COMMUNICATIONS & NETWORKS

Course code :17 EM 4158 L – T – P : 3 – 0- 0

Pre Requisite : 17CS3114 Credits:3

Mapping of course outcomes with student outcomes:

C.O.

No. Course outcome Mapped PO

BTL

CO1 Able to understand Transmission fundamentals and communications

networks and application protocol architecture PO7,PO12

2

CO2 Able to understand and analyze signal encoding techniques, spectrum

and different wireless networks PO7,PO12 2

CO3 Able to understand and analyze various principles of cellular wireless

networks PO7,PO12 2

CO4 Able to understand wireless protocols and applications of

IEEE802.11 architecture and standards PO7,PO12 2

SYLLABUS:

Introduction- Wireless Comes of Age. The Cellular Revolution. The Global Cellular Network.

Broadband. The Trouble with Transmission Fundamentals -Wireless Signals for Conveying

Information. Analog and Digital Data Transmission. Channel Capacity. Transmission Media.

Multiplexing. Communication Networks- LANs, MANs, and WANs. Switching Techniques.

Circuit-Switching. Packet-Switching. Asynchronous Transfer mode. Protocols and the TCP/IP

Suite - The Need for a Protocol Architecture. The TCP/IP Protocol Architecture. The OSI

Protocol Architecture, internetworking. WIRELESS COMMUNICATION TECHNOLOGY:

Antennas and Propagation- Antennas. Propagation Modes. Line-of-Sight Transmission. Fading

in the Mobile Environment. Signal Encoding Techniques- Signal Encoding Criteria. Digital

Data, Analog Signals. Analog Data, Analog Signals. Analog Data, Digital signals .Spread

Spectrum- The Concept of Spread Spectrum. Frequency Hopping Spread Spectrum. Direct

Sequence Spread Spectrum. Code-Division Multiple Access. Generation of Spreading

Sequences. Coding and Error Control- WIRELESS NETWORKING- Cellular Wireless

Networks Principles of Cellular Networks. First Generation Analog. Second Generation TDMA.

Second Generation CDMA. Third Generation Systems . Cordless Systems and Wireless Local

Loop- Cordless Systems. Wireless Local Loop. IEEE 802.16 Fixed Broadband Wireless Access

Standard. Mobile IP and Wireless Access Protocol- Mobile IP. Wireless Application Protocol.

Wireless LAN Technology- Overview. Infrared LANs. Spread Spectrum LANs. Narrowband

Microwave LANs. IEEE 802.11 Wireless LAN Standard- IEEE 802 Protocol Architecture.

IEEE 802.11 Architecture and Services. IEEE 802.11 Medium Access Control, IEEE 802.11

Physical Layer. Bluetooth- Overview. Radio Specifications. Baseband Specification. Link

Manager Specification. Logical Link Control and adaptation protocol.

TEXTBOOKS:

1. William Stallings, “Wireless Communications and Networks”, Pearson Education, 2005

2. Jochen Schiller, “Mobile Communications”, Second Edition, Pearson Education, 2001.

REFERENCES:

1. Kaveh Pahlavan, Prasanth Krishnamoorthy, “Principles of Wireless Networks”, First

dition, Pearson Education, 2001.

2. Uwe Hansmann, Lothar Merk, Martin S. Nicklons and Thomas Stober, “Principles of

Mobile Computing”, Springer, 2001.

WIRELESS SENSOR NETWORKS.

Course code :17 EM 4159 L – T – P : 3 – 0 - 0

Pre Requisite : 17CS3114 Credits : 3

Mapping of course outcomes with student outcomes:

C.O.

No. Course outcome

Mapped

SLO

BTL

CO1 Able to understand Cellular and adhoc networks in detail PO5,PO12 2

CO2 Able to understand wireless sensor networks data communications to

other networks which involves its design and principles PO5,PO12

2

CO3 Able to understand various MAC protocols for sensor networks PO5,PO12 2

CO4 Able to understand and analyze various routing techniques of wsn and PO5,PO12 2

ad hoc networks

SYLLABUS:

Cellular and Ad Hoc Wireless Networks-Applications of Ad Hoc Wireless Networks, Issues in

Ad Hoc Wireless Networks: Medium Access Scheme-Routing-Multicasting Transport Layer

Protocols-Pricing Scheme-Quality of Service Provisioning-Self Organization-Security-

Addressing and Service Discovery-Energy management Scalability-Deployment Considerations,

Ad Hoc Wireless Internet. Comparison with Adhoc wireless networks-Challenges for WSNs –

Difference between sensor networks and Traditional sensor networks ,Types of Applications,

Enabling Technologies for Wireless Sensor Networks –Single Node Architectures , Hardware

Components , Energy Consumption of Sensor Nodes, Issues in Designing aMulticast Routing

Protocol.Data Dissemination-Flooding and Gossiping-Data gathering Sensor Network

Scenarios –Optimization Goals and Figures of Merit – Design Principles for WSNs Gateway

Concepts – Need for gateway – WSN to Internet Communication –Internet to WSN

Communication –WSN TunnelingMAC Protocols for Sensor Networks -Location Discovery-

Quality of Sensor Networks Evolving Standards-Other Issues- Low duty cycle and wake up

concepts- The IEEE802.15.4 MAC Protocols- Energy Efficiency -Geographic Routing Mobile

nodes Gossiping and Agent based Unicast Forwarding-Energy Efficient Unicast-

Broadcastand Multicast-Geographic Routing-Mobile nodes-Security-Application

SpecificSupport - Target detection and tracking-Contour/ edge detection-Field Sampling.

Text Books:

1. Holger Karl and Andreas Wiilig, “Protocols and Architectures for Wireless Sensor Networks”

John Wiley & Sons Limited 2008.

2. I.F .Akyildiz and Weillian, “A Survey on Sensor Networks”,IEEE Communication Magazine,

August 2007.

Reference Books:

1. Wilson , “Sensor Technology hand book,” Elsevier publications 2005.

2. Anna Hac “Wireless Sensor Networks Design,” John Wiley& Sons Limited Publications

2003.

3. C.Siva Ram Murthy and B.S.Manoj “Ad Hoc Wireless Networks,” Pearson Edition 2005

SENSOR NETWORKS PROGRAMMING

Course code :17 EM 4160 L – T – P: 3 – 0 - 0

Pre Requisite : 17CS3114 Credits : 3

Mapping of course outcomes with student outcomes:

C.O.

No. Course outcome

Mapped

SLO

BTL

CO1 Able to understand fundamentals of TinyOS and nesC in wsn

environment. PO5,PO12

1

CO2 Able to understand real world programming of wireless sensor

network in different scenarios. PO5,PO12

1

CO3 Able to understand the performance analysis of power-aware

algorithms PO5,PO12

1

CO4 Able to understand and develop energy efficient algorithms for

wireless sensor networks thru simulation or real time experiments PO5,PO12

2

SYLLABUS

Introduction :Some Foundational Information , Next-Generation Sensor Networked Tiny

Devices , Sensor Network Software Performance-Driven Network Software Programming

,Unique Characteristics of Programming Environments for Sensor Networks , Why TinyOS and

NesC , Future Demands on Sensor-Based Software Wireless Sensor Networks :Sensor Network

Applications ,Characteristics of Sensor Networks ,Nature of Data in Sensor Networks Sensor

Technology: Sensor Level Server Level ,Client Level ,Programming Tools .Tiny Operating

System (TinyOS) Components of TinyOS,An Introduction to NesC ,,Event-Driven

Programming.Programming in NesC NesC Programming A Simple Program, SENSOR

NETWORK IMPLEMENTATION. Sensor Programming :Programming Challenges in Wireless

Sensor Networks,Sensing the World Applications Using the Interface SplitControl. REAL-

WORLD SCENARIOS: Sensor Deployment Abstraction:Sensor Network Abstraction Data

Aggregation ,Collaboration Group Abstractions ,Programming Beyond Individual Nodes 205

Standards for Building Wireless Sensor Network Applications :802.XX Industry Frequency and

Data Rates ZigBee Devices and Components ZigBee Application Development Dissemination

and Evaluation for Real-Time Environment Motivation and Background ,Software

Microframework Requirements Performance Analysis of Power-Aware Algorithms :

Introduction Service Architecture 242 Approaches To WSN Programmability ,Simulation

Capabilities ,Benchmarking Modeling Sensor Networks Through Design and Simulation

:Introduction, Why a New Simulator Currently Available Simulators ,Simulation Design

,Implementation Details ,Experimental Results

MATLAB Simulation of Airport Baggage-Handling System :Introduction, proposed

Architecture

Text Books: 1.Fundamentals of Sensor Network Programming: Applications and Technology Hardcover Dec

2010 by S. Sitharama Iyengar ,Nandan Parameshwaran, Vir V. Phoha.

2.Fundamentals of Sensor Network Programming: Applications and Technology S. Sitharama

Iyengar, Nandan Parameshwaran, Vir V. Phoha, N. Balakrishnan, Chuka D. Okoye ISBN: 978-

0-470-87614-5

Reference Books:

Developing a Wireless Sensor Network Programming Language Application Guide Using

Memsic Devices and LabVIEW

REMOTE SENSING Course code : 17 EM 4161 L – T – P: 3 – 0 - 0

Pre Requisite : 17CS3114 Credits:3

Mapping of course outcomes with student outcomes:

C.O.

No. Course outcome

Mapped

PO

BTL

CO1 Able to understand relations of remote sensing with atmosphere and

earth PO5,PO12

1

CO2 Able to understand and remote sensing platforms and sensors for data

analysis and interpretation PO5,PO12

1

CO3 Understand the basic components of GIS PO5,PO12 1

CO4 Understand data storage and analysis of GIS data. PO5,PO12 1

SYLLABUS:

EMR AND ITS INTERACTION WITH ATMOSPHERE & EARTH MATERIAL: Definition of remote sensing and its components – Electromagnetic spectrum – wavelength

regions important to remote sensing – Wave theory, Particle theory, Stefan-Boltzman and

Wein’s Displacement Law – Atmospheric scattering, absorption – Atmospheric windows –

spectral signature concepts – typical spectral reflective characteristics of water, vegetation and

soil.PLATFORMS AND SENSORS Types of platforms – orbit types, Sun-synchronous and

Geosynchronous – Passive and Activesensors – resolution concept – Pay load description of

important Earth Resources and

Meteorological satellites – Airborne and spaceborne TIR and microwave sensors.

IMAGEINTERPRETATIONANDANALYSIS Types of Data Products – types of image

interpretation – basic elements of image interpretation- visual interpretation keys – Digital Image

Processing – Pre-processing – image enhancement techniques – multispectral image

classification – Supervised and unsupervised.

GEOGRAPHIC INFORMATION SYSTEM Introduction – Maps – Definitions – Map

projections – types of map projections – map analysis –GIS definition – basic components of

GIS – standard GIS softwares – Data type – Spatial andnon-spatial (attribute) data –

measurement scales – Data Base Management Systems (DBMS).

DATAENTRY, STORAGE AND ANALYSISData models – vector and raster data – data

compression – data input by digitization andscanning – attribute data analysis – integrated data

analysis – Modeling in GIS Highway alignment studies – Land Information System.

TEXTBOOKS

1.Lillesand,T.M.,Kiefer,R.W.andJ.W.Chipman.(2004).RemoteSensingandImageInterpretation. V

Edn.JohnWilleyandSons(Asia)Pvt.Ltd.,NewDelhi.

2. Anji Reddy, M. (2001). Textbook of Remote Sensing and Geographical Information System.

Secondedn.BSPublications,Hyderabad.

REFERENCES

1. Lo. C.P.and A.K.W.Yeung (2002). Concepts and Techniques of Geographic Information

Systems.Prentice-HallofIndiaPvt.Ltd.,NewDelhi.Pp:492.

2. Peter A.Burrough, Rachael A.McDonnell (2000). Principles of GIS. Oxford University Press.

3. Ian Heywood (2000). An Introduction to GIS. Pearson Education Asia.

WEB TECHNOLOGIES STREAM

WEB SERVICES

Course code : 17 EM 3253 L – T – P : 3-0-0

Pre Requisite :17EM3110 Credits : 3

Mapping of course outcomes with student outcomes:

C.O.

No. Course outcome Mapped PO

BTL

CO1

Must be hands-on in developing two tier/ three tier WEB

based applications using APACHE and NETBEANS as the

Platform

PO5,PSO2 2

CO2 Must have theoretical knowledge of all the programming

languages, WEB services related technologies and API as

PO5,PSO2 2

detailed in the syllabus

CO3 Able to understand fundamentals of SOAP,WSDL & UDDI PO5,PSO2 1

CO4

Must be able to design, develop, register, deploy WEB

Services and develop a real life application considering

WEB services server and UDDI registry

PO5,PSO2 3

SYLLABUS:

Introduction: Introduction to Web Services, Web Service Architecture, XML Messaging, Service

Description: WSDL, Service Discovery: UDDI, Service Transport, Using WEB service

technologies together. Standards related to WEB service. XML-RPC Essentials: XML-RPC

Overview, the need for XML-RPC, XML-RPC Technical Overview, Developing using XML-RPC,

Beyond simple XML-RPC Calls. SOAP Essentials: SOAP 101, The SOAP Message, SOAP

Encoding, SOAP via HTTP, SOAP and the W3C, SOAP Implementations, Using Apache SOAP:

Installing Apache SOAP, Developing a simple SOAP message, Deploying SOAP Services,

Programming using Apache SOAP: Working with Arrays, Working with JavaBeans, Working with

Literal XML Documents, Handling SOAP Faults, Maintaining Session State. WSDL: The WSDL

Specification, Basic WSDL Example: HelloService.wsdl, Invoking WSDL, Basic WSDL

Invocation methods(Part-1) Xmethods, Basic WSDL Invocation methods (Part-2) Xmethods,

Generating WSDL Files, XML Schema Data Typing. UDDI Essentials: Introduction to UDDI ,

UDDI Technical Overview, UDDI Data Model, Searching UDDI, Publishing to UDDI, UDDI

Implementations, Web Resources, UDDI Inquiry API: The UDDI Inquiry API, Find Qualifiers,

Finding and Retrieving UDDI Data, Publishing UDDI Data, UDDI4J Quick Reference API.

Developing Sample Applications using WEB services: Income Tax Calculation, Purchase order

processing, Invoicing and Billing

text Books :

Web Services Essentials By Ethan Cerami, Orielly ,2002.

Reference Books:

1.Java Web Services David A. Chappel & Jewell,Oreilly,2009.

2.Web Services Concepts, Architectures and applications by Gustavo Alonso.,Springer,2009.

WEB SEMANTICS

Course code : 17 EM 4162 L – T – P : 3-0-0

Pre Requisite : : 17EM3110 Credits : 3

Mapping of course outcomes with student outcomes:

C.O.

No. Course outcome

Mapped

PO

BTL

CO1

Must Acquire theoretical knowledge related to WEB semantics,

ontology learning and languages that can be used for the

development of WEB semantics

PO5,PSO2 1

CO2 Must be knowledgeable using tools to develop web semantics for

various real life applications

PO5,PSO2 2

CO3 Able to understand ontology Management & learning for semantic

web

PO5,PSO2 1

CO4 Must develop a real life application that require use of WEB

semantics

PO5,PSO2 3

SYLLABUS:

Introduction: Introduction to WEB semantics – Meaning and Reason. The Concept of

Ontology, The langue of Ontology, Ontological Categories, Knowledge Representation

Ontologies, Top Level Ontologies, Linguistic Ontologies, Domain Ontologies, Semantic Web:

Need, Foundation, Layers, Architecture. Languages for Semantic Web and Ontologies:

Web Documents in XML, RDF – Schema, Web Resource Description using RDF, RDF

Properties, Topic Maps and RDF, RDF Overview, RDF Syntax Structure, RDF Semantics,

RDF Pragmatics, Brief review of Traditional Ontology Languages: LOOM, OKBC,, OCML, F-

logic Ontology, Brief review of Markup Languages: SHOE, OIL, DAML, OIL, OWL .Ontology

Learning for Semantic Web: Taxonomy for Ontology Learning,– Layered Approach, Phases

of Ontology Learning, Importing and Processing Ontologies and Documents, Ontology

Learning Algorithms, Evaluation. Ontology Management and Tools: Need for ontology

management, development process, target ontology, ontology mapping, skills management

system, ontological class, constraints, issues. Evolution, Development of Tools and Tool

Suites, Ontology Merge Tools, Ontology based Annotation Tools. Use of Proteage tool for the

development of Ontology. Applications: Developing ontology for the applications such as

Insurance system, banking system and a Retail Trading System which are developed using

various types of sources that of type structured, unstructured and semi-structured data (HTML.

XML, RDBMS)

Text Books:

1.Asuncion Gomez-Perez, Oscar Corcho, Mariano Fernandez-Lopez “Ontological Engineering:

with examples from the areas of Knowledge Management, eCommerce and the Semantic Web”

Springer, 2004.

2.Grigoris Antoniou, Frank van Harmelen, “A Semantic Web Primer (Cooperative Information

Systems)”, The MIT Press, 2004.

Reference Books:

1.Alexander Maedche, “Ontology Learning for the Semantic Web”, Springer; 1 edition, 2002.

2.John Davies, Dieter Fensel, Frank Van Harmelen, “Towards the Semantic Web: Ontology –

Driven Knowledge Management”, John Wiley & Sons Ltd., 2003.

3.John Davies (Editor), Rudi Studer (Co-Editor), Paul Warren (Co-Editor) “Semantic Web

Technologies: Trends and Research in Ontology-based Systems”Wiley Publications, Jul 2006

4.Dieter Fensel (Editor), Wolfgang Wahlster, Henry Lieberman, James Hendler, “Spinning the

Semantic Web: Bringing the World Wide Web to Its Full Potential”, The MIT Press, 2002.

5.Michael C. Daconta, Leo J. Obrst, Kevin T. Smith, “The Semantic Web: A Guide to the Future

of XML, Web Services, and Knowledge Management”, Wiley, 2003.

ENTERPRISE PROGRAMMING

Course code :17EM4163 L – T – P : 3-0-0

Pre Requisite : 17EM3110 Credits : 3

Mapping of course outcomes with student outcomes:

C.O.

No. Course outcome

Mapped

PO

BTL

CO1

Must acquire theoretical knowledge related to enterprise

architectures, development platforms, Application servers, EJB

components, EJB query language.

PO5,PSO2 2

CO2 Must be hands-on developing EJB components using NETBEANS

and deploy the components using JBOSS

PO5,PSO2 2

CO3 Able to understand EJB QL & develop sample applications PO5,PSO2 2

CO4 Must develop real life Enterprise wide application based on EJB and

JBOSS and SQL server as DBMS engine

PO5,PSO2 6

SYLLABUS:

Introduction to Enterprise Systems: Meaning of an Enterprise, Difference between an

enterprise and a business establishment, EE infrastructure support in JAVA. Multi-Tier

Architectures used for implementing IT for enterprises: Single tier systems, Client server and

N. Tier Architectures, Features of JAVA EE: Clients, servers, containers, Servlets, JSP, JDBC,

EJBS, XML support, WEB services, Transaction support, Security, JAVA EE Architectures:

client with EJB, JSP Client with EJB, Applet client with JSP and Database, WEB services

oriented implementation. Introduction to application server: Meaning and purpose, Installing

JBOSS, developing a sample EJB application and deploying under JBOSS and running the same:

Introduction to component technologies, Role of Component technologies in implementing the

Enterprise solutions, EJB Fundaments: EJB specification, Kinds of EJB. EJB Session Beans:

Purpose, Meaning and Purpose of Stateful and Stateless session beans, Using Stateful and

Stateless session beans, Sample application that uses a session bean. SQL and EJB SQL:

Introduction to SQL, SQL Objects, SQL Data types, Creating Tables, Selecting Data from

Tables, Modifying Table Data, Constructing Joins, Introduction to EJB QL: Entity Bean

references, Javax.ejb.Query Object, Building EJB Queries, using relationships. EJB Entity

Beans: Working of Entity beans with sessions beans, Anatomy of Entity bean, Entity Bean class,

Managing persistence and Entity Manager Interface. EJB Query Language: EJB QL queries,

running EJB QL within Session beans, Developing a sample application using Entity Beans.

EJB, EJB QL and JDBC: Entity Bean relationships: One-to-Many, Many-to-many, Container

managed relationships and EJB QL, Using JDBC with EJB Entity Beans, Message driven beans:

Describing MDBs, MDB context, MDB Transactions, Invocation of an Interceptor, Java

Message API, EJB Timer services, Developing a sample application using Message driven

beans.

Text Books :

Kevin Mukhar and Chris Zelenak, “Beginning Java EE From Novice to professional, APRESS

publications,2009.

Reference Books:

1.Antonio Goncalves, “Beginning Java™ EE 6 Platform with GlassFish™ 3 Novice to

Professional”, Apress, 2009 Edition

2.Jan Graba, “An Introduction to Network Programming with Java”, Springer, 2nd edition, 2006.

3.Mark D Hansen, “SOA Using Java web services”, Pearson, 2007.

4.Dreamtech Software Team, “Java Server Programming J2EE: Black Book”, Wiley, 2007.

CLOUD BASED WEB DEVELOPMENT

Course code :17 EM 4164 L – T – P: 3-0-0

Pre Requisite : 17EM3110 Credits : 3

Mapping of course outcomes with student outcomes:

C.O.

No. Course outcome Mapped PO

BTL

CO1

Must acquire theoretical knowledge related to WEB

Applications, Cloud computing and deploying WEB

applications on the cloud

PO5,PSO2 2

CO2 Must be hands-on developing WEB Applications using

Google APP / Open ERA

PO5,PSO2 2

CO3 Able to understand basic cloud based application

development environment

PO5,PSO2 2

CO4 Must be able to develop real life cloud based applications

through Google APP / Open ERA

PO5,PSO2 6

SYLLABUS:

Web Application development: Overview: Architectures, Technologies: HTML, DHTML,

PHP, JSP, JDBC, Overview on Enterprise development: Definition, Architectures, Technologies:

Java.Net, Java. Tran, Java. Message, Application server. Component technologies: EJB

specification, development, deployment, Developing Applications: WEB based and Enterprise

based, Overview on WEB services: Architectures, Technologies. Cloud computing

fundamentals: Cloud Computing definition, private, and public and hybrid cloud. Cloud based

services ; IaaS, PaaS, SaaS. Benefits and challenges of cloud computing, public vs private

clouds, role of virtualization in enabling the cloud; Business Agility: Benefits and challenges to

Cloud architecture. Application availability, performance, security and disaster recovery; next

generation Cloud Applications. Deploying WEB services on the clouds: Technologies and the

processes required when deploying web services; deploying a web service from inside and

outside a cloud architecture, advantages and disadvantages, Management of WEB services

hosted on the clouds: Reliability, availability and security of services deployed from the cloud.

Performance and scalability of services, tools and technologies used to manage cloud services

deployment; Cloud Economics : Cloud Computing infrastructures available for implementing

cloud based services. Economics of choosing a Cloud platform for an organization, based on

application requirements, economic constraints and business needs (e.g Amazon, Microsoft and

Google, Salesforce.com, Ubuntu and Redhat). Cloud based application development

environment: Service creation environments to develop cloud based applications. Development

environments for service development; Open ERA, Google App. Analysis of Case Studies when

deciding to adopt cloud computing architecture. How to decide if the cloud is right for your

requirements. Cloud based service, applications and development deployment so as to improve

the total cost of ownership (TCO). Cloud based WEB application development: Technical

architecture considerations – concurrency, speed and unpredictable loads. Agile development,

team composition (including roles/responsibilities), working with changing requirements and

aggressive schedules. Understanding Model View Controller (MVC). Advanced understanding

of “views”, location, and the presentation layer: Advanced Ajax and JQuery. Presenting to

different browsers and devices. Localization and internationalization; Understanding client

location and device type.

Text Books:

1.Gautam Shroff, “Enterprise Cloud Computing Technology Architecture Applications”,

Cambridge University Press; 1 edition, [ISBN: 978- 0521137355], 2010.

2.Toby Velte, Anthony Velte, Robert Elsenpeter, “Cloud Computing, A Practical Approach”

McGraw-Hill Osborne Media; 1 edition [ISBN: 0071626948], 2009.

Reference Books:

1.Dimitris N. Chorafas, “Cloud Computing Strategies” CRC Press; 1 edition [ISBN:

1439834539],2010.

2.Eugenio Pace, Dominic Betts, Scott Densmore, Ryan Dunn, Masashi Narumoto,

MatiasWoloski, “Developing Applications for the Cloud on the Microsoft Windows Azure

Platform” Microsoft Press; 1 edition, [ISBN: 9780735656062] 2010.

3.Dan Wellman, “jQuery UI 1.6” Packt Publishing [ISBN: 9781847195128] 2009.

4.Peter Lubbers, Brian Albers, Frank Salem, Ric Smith, “Pro HTML5 Programming” A press,

[ISBN: 9781430227908] 2010.

5.Lee Babin, “Beginning Ajax with PHP” A press; 1 edition, [ISBN: 9781590596678] 2000.

WEB ANALYTICS

Course code :17EM 4165 L – T – P: 3-0-0

Pre Requisite : 17EM3110 Credits : 3

Mapping of course outcomes with student outcomes:

C.O.

No. Course outcome Mapped PO

BTL

CO1

Must acquire theoretical knowledge related to WEB

Analytics, processing clicked streams, metrics for WEB

analytics

PO5,PSO2 2

CO2 Must be hands-on developing WEB Analytics using NINJA PO5,PSO2 2

CO3 Able to understand basics of analytics related to

social,mobile & video.

PO5,PSO2 2

CO4 Must be able to develop applications that require WEB

analytics

PO5,PSO2 4

SYLLABUS:

Introduction- Analytics – WEB Analytics – Meaning, State of WEB Analytics, Elements of

WEB Analytics: Clicked streams, Analysis of Multiple Outcomes Analysis, Experimentation

and Testing , including the Voice of Customer, Competitive Intelligence , The Strategic

Imperative, Tactical Shift, Bonus Analytics. Metrics for WEB analytics - Eight Critical Web

Metrics ,Visits and Visitors, Time on Page, Time on Site, Bounce Rate, Exit Rate, Conversion

Rate, Engagement, Strategically-aligned Impactful Web Metrics, Diagnosing the Root Cause of

a Metric’s Performance: Conversion ,Leveraging Custom Reporting, Starting with Macro

Insights. Processing Clickstreams: Web Analytics Primer, getting primitive indicators out of

the way, Understanding Visitor Acquisition Strengths, Click Density Analysis, Counting user

Visits for purchasing, Reporting Web Analytics, Sources of Traffic, Outcomes, Foundational

Analytical Strategies, WEB segmenting, Capturing user Behavior, Analyzing everyday

clickstreams, Site Search Analysis, Search Engine Optimization, Pay Per Click / Paid Search

Analysis, Direct Traffic Analysis, Email campaign analysis, Rich experience analysis: Flash,

Video, and Widgets, Reality Check: Prospect Perspectives on key web analytics challenges,

visitor tracking cookies, data sampling, the value of historical data, the usefulness of video

playback of customer experience ,the ultimate data reconciliation checklist. Emerging Analytics

related to Social, Mobile, and Video: Measuring the new social web: The data challenge, the

content democracy evolution ,The twitter revolution ,Analyzing offline customer experiences

(Applications), Analyzing mobile customer experiences, Mobile data collection: Options,

Mobile Reporting and Analysis, Measuring the success of blogs, raw author contribution,

Holistic audience growth, Citations and ripple index ,Cost of blogging, Benefit from blogging

,Quantifying the impact of twitter ,Growth in number of followers ,Message amplification

,Click-through rates and conversions, Conversation rate ,Emerging twitter metrics, Analyzing

performance of Videos, Data collection for videos, Key video metrics and Analysis, Advanced

video analysis. Working with NINJA WEB Analytic tool –Working with Ninja, Comparing

Key Metrics, Performance analysis for different time periods, Providing context through

segmenting, Comparing key metrics and segments against site average, Joining PALM (People

Against Lonely Metrics) ,Leveraging Industry Benchmarks and Competitive Data, True Value:

Measuring latent conversions and visitor behavior, Latent Visitor Behavior Latent Conversions,

KPI Measurement Techniques ,Averages percentages ratios, Compound or Calculated Metrics,

Searching: Achieving the optimal long-tail strategy, Computing head and tail, Understanding

branding and category terms, The optimal search marketing strategy ,Executing the optimal long-

tail strategy, Measuring the value of upper funnel keywords, Advanced pay-per-click analyses,

Identifying keyword arbitrage opportunities

Text Books :

1.”Web Analytics 2.0 The Art of Online Accountability & Science of Customer Centricity”,

Avinash Koushik, Wiley Publishing, Inc., ISBN: 978-0-470-52939-3.

Reference Books:

1.“Advanced Web Metrics with Google Analytics™, Third Edition, B r i a n C l i f t o n John

Wiley & Sons, Inc, ISBN: 978-1-118-16844-8.

INTERNET OF THINGS STREAM

WIRELESS TECHNOLOGIES FOR IOT

Course code :17EM4168 L – T – P: 3-0-0

Pre Requisite :17EM3106 Credits : 3

Mapping of course outcomes with student outcomes:

C.O.

No. Course outcome Mapped PO

BTL

CO1 Remember and understand Radio Frequency (RF) Fundamentals PO1,PSO1 1

CO2 Illustrate the various cellular standards PO1,PSO1 1

CO3 Understand the different wireless technologies PO1,PSO1 1

CO4 Understand the basics of embedded wireless application development. PO5,PSO1 2

RF Basics: Radio Frequency (RF) Fundamentals: Introduction to RF & Wireless

Communications Systems, RF and Microwave Spectral Analysis, Communication Standards,

Understanding RF & Microwave Specifications. Spectrum Analysis of RF Environment,

Protocol Analysis of RF Environment, Units of RF measurements, Factors affecting network

range and speed, Environment, Line-of-sight, Interference, Defining differences between

physical layers- OFDM.

Cellular Standards: Cellular carriers and Frequencies, Channel allocation, Cell coverage, Cell

Splitting, Microcells, Picocells, Handoff, 1st, 2nd, 3rd and 4th Generation Cellular Systems

(GSM, CDMA, GPRS, EDGE,UMTS), Mobile IP, WCDMA

WLAN: Wi-Fi Organizations and Standards: IEEE, Wi-Fi Alliance, WLAN Connectivity,

WLAN QoS & Power-Save, IEEE 802.11 Standards,802.11- 2007,802.11a/b/g,

802.11e/h/I,802.11n

Wi-Fi Hardware & Software: Access Points, WLAN Routers, WLAN Bridges, WLAN

Repeaters, Direct-connect Aps, Distributed connect Aps, PoE Infrastructure, Endpoint, Client

hardware and software, Wi-Fi Applications

WSN & WPN: Wireless Personal Area Networks, Bluetooth, Bluetooth Standards, BlueTooth

Protocol Architecture, UWB, IEEE 802.15 standards, ZigBee, Sub1GHz, Sensor Networks, co-

existence strategies in Sensor Networks, Routing protocols in Wireless Sensor Networks.

TEXT BOOKS:

1. Wireless Communications – Principles and Practice; by Theodore S Rappaport, Pearson

Education Pte. Ltd., Delhi

2. Wireless Communications and Networking; By: Stallings, William; Pearson Education Pte.

Ltd., Delhi

3. Bluetooth Revealed; By: Miller, Brent A, Bisdikian, Chatschik; Addison Wesley Longman Pte

Ltd., Delhi

4. Wilson , “Sensor Technology hand book,” Elsevier publications 2005.

5. Andrea Goldsmith, “Wireless Communications,” Cambridge University Press, 2005

REFERENCES:

1. Mobile and Personal Communications Services and Systems; 1st Edition; By: Raj Pandya;

PHI, New Delhi

2. Fundamentals of Wireless Communication by Tse David and Viswanath Pramod, Cambridge

University press, Cambridge

3. Mobile Communications; By: Schiller, Jochen H; Addison Wesley Longman Pte Ltd., Delhi

4. 3G Networks: Architecture, protocols and procedures based on 3GPP specifications for UMTS

WCDMA networks, By Kasera, Sumit, Narang, and Nishit, TATA MGH, New Delhi

5. Wireless Sensor Networks: information processing by approach, ZHAO, FENG, GUIBAS and

LEONIDAS J, ELSEVIER, New Delhi

6. Holger Karl and Andreas Wiilig, “Protocols and Architectures for Wireless Sensor Networks”

John Wiley & Sons Limited 2008.

IOT APPLICATION DEVELOPMENT THROUGH PYTHON

Course code :17EM4169 L – T – P: 3-0-0

Pre Requisite :17EM3102 Credits : 3

Mapping of course outcomes with student outcomes:

C.O.

No. Course outcome Mapped PO

BTL

1 Understand the vision of IoT from a global context. PO1,PO5 1

2 Understanding of Python Language and development

boards. PO1,PO5 1

3 Understanding and Building the application for IoT using

Python. PO2,PO5 1

4 Use of Devices, Gateways and cloud management in IoT. PO5,PSO1 3

Understanding and Setting up the Base IoT Hardware, Understanding the Intel Galileo Gen 2

board and its components, Recognizing the Input/Output and the Arduino 1.0 pinout,

Recognizing additional expansion and connectivity capabilities, Understanding the buttons and

the LEDs.

. Introduction to Python - Language features of Python, Data types, data structures, Control of

flow, functions, modules, packaging, file handling, data/time operations, classes, Exception

handling Python packages - JSON, XML, HTTPLib, URLLib, SMTPLib. IoT Physical Devices

and Endpoints.

Working with Python on Intel Galileo Gen 2 Setting up the board to work with Python as the

programming language, Retrieving the board's assigned IP address ,Connecting to the board's

operating system , Installing and upgrading the necessary libraries to interact with the board ,

Installing pip and additional libraries , Invoking the Python interpreter.

Interacting with Digital Outputs with Python Turning on and off and on board component ,

Prototyping with breadboards , Working with schematics to wire digital outputs , Counting from

1 to 9 with LEDs, Python code and the mraa library , Taking advantage of object-oriented code

to control digital outputs , Improving our object-oriented code to provide new features Isolating

the pin numbers to improve wirings , Controlling digital outputs with the wiring-x86 library.

Working with Digital Inputs, Polling and Interrupts Understanding pushbuttons and pullup

resistors , Wiring digital input pins with pushbuttons , Reading pushbutton statuses with digital

inputs and the mraa library , Reading pushbutton statuses and running a RESTful API ,Reading

digital inputs with the wiring-x86 library , Using interrupts to detect pressed pushbuttons.

IoT Physical Servers and Cloud Offerings – Introduction to Cloud Storage models and

communication APIs Webserver – Web server for IoT, Cloud for IoT, Python web application

framework Designing a RESTful web API. Publishing data to the cloud with dweepy , Building

a web-based dashboard with Freeboard , Sending and receiving data in real-time through Internet

with PubNub , Publishing messages with commands through the PubNub cloud , Working with

bi-directional communications , Publishing messages to the cloud with a Python PubNub client

,Using MQTT with Mosquitto and Eclipse Paho ,Publishing messages to a Mosquitto broker

with a Python client.

REFERENCE BOOKS:

1. “Internet of Things with Python” Gastón C. Hillar,Published by Packt Publishing Ltd.

Livery Place 35 Livery Street Birmingham B3 2PB, UK. ISBN 978-1-78588-138-1

2. Arshdeep Bahga and Vijay Madisetti,,Internet of Things - A Hands-on Approach,

Universities Press, 2015, ISBN: 9788173719547 .

3. Matt Richardson & Shawn Wallace, Getting Started with Raspberry Pi, O'Reilly (SPD),

2014, ISBN: 9789350239759.

4. “Learning Python”, Fifth Edition by Mark Lutz, Published by O’Reilly Media, ISBN:

978-1-449-35573-9.

WIRELESS SENSOR NETWORKS.

Course code :17 EM 4159 L – T – P : 3 – 0 - 0

Pre Requisite : 17CS3002 Credits : 3

Mapping of course outcomes with student outcomes:

C.O.

No. Course outcome

Mapped

SLO

BTL

CO1 Able to understand Cellular and adhoc networks in detail PO5,PO12 2

CO2 Able to understand wireless sensor networks data communications to

other networks which involves its design and principles PO5,PO12

2

CO3 Able to understand various MAC protocols for sensor networks PO5,PO12 2

CO4 Able to understand and analyze various routing techniques of wsn and

ad hoc networks PO5,PO12

2

Cellular and Ad Hoc Wireless Networks-Applications of Ad Hoc Wireless Networks, Issues in

Ad Hoc Wireless Networks: Medium Access Scheme-Routing-Multicasting Transport Layer

Protocols-Pricing Scheme-Quality of Service Provisioning-Self Organization-Security-

Addressing and Service Discovery-Energy management Scalability-Deployment Considerations,

Ad Hoc Wireless Internet. Comparison with Adhoc wireless networks-Challenges for WSNs –

Difference between sensor networks and Traditional sensor networks ,Types of Applications,

Enabling Technologies for Wireless Sensor Networks –Single Node Architectures , Hardware

Components , Energy Consumption of Sensor Nodes, Issues in Designing aMulticast Routing

Protocol.Data Dissemination-Flooding and Gossiping-Data gathering Sensor Network

Scenarios –Optimization Goals and Figures of Merit – Design Principles for WSNs Gateway

Concepts – Need for gateway – WSN to Internet Communication –Internet to WSN

Communication –WSN TunnelingMAC Protocols for Sensor Networks -Location Discovery-

Quality of Sensor Networks Evolving Standards-Other Issues- Low duty cycle and wake up

concepts- The IEEE802.15.4 MAC Protocols- Energy Efficiency -Geographic Routing Mobile

nodes Gossiping and Agent based Unicast Forwarding-Energy Efficient Unicast-

Broadcastand Multicast-Geographic Routing-Mobile nodes-Security-Application

SpecificSupport - Target detection and tracking-Contour/ edge detection-Field Sampling.

Text Books:

1. Holger Karl and Andreas Wiilig, “Protocols and Architectures for Wireless Sensor Networks”

John Wiley & Sons Limited 2008.

2. I.F .Akyildiz and Weillian, “A Survey on Sensor Networks”,IEEE Communication Magazine,

August 2007.

Reference Books:

1. Wilson , “Sensor Technology hand book,” Elsevier publications 2005.

2. Anna Hac “Wireless Sensor Networks Design,” John Wiley& Sons Limited Publications

2003.

3. C.Siva Ram Murthy and B.S.Manoj “Ad Hoc Wireless Networks,” Pearson Edition 2005

SENSORS AND SENSING PRINCIPLES

Course code : 17 EM 3252 L – T – P : 3 – 0 - 0

Pre Requisite : 17CS3002 Credits : 3

Mapping of course outcomes with student outcomes:

C.O.

No. Course outcome Mapped PO

BTL

CO1 Able to understand and analyze the sensor fundamentals, principles

and characteristics PO7,PO12

4

CO2 Understand the application of various physical and Chemical

sensors PO7,PO12 2

CO3 Understand the application of various optical sensors PO7,PO12 2

CO4 Able to understand the different bio sensors and its limitations. PO7,PO12 2

Syllabus

Sensor Fundamentals: Basic sensor technology -sensor characteristics –static and dynamic –

Principles

of sensing- capacitance- magnetic and electromagnetic induction –resistance – piezoelectric

effect –Pyroelectric effect -Hall effect- See beck and Pettier effect-heat transfer-light. Sensor

Characteristics: Analysis of experimental data: causes and types of experimental errors –

statistical analysis of experimental data –method of least squares –correlation coefficient,

multivariable regression – graphical analysis and curve fitting. Physical /Chemical sensors:

Position, Displacement and Level sensors, Velocity and Acceleration sensors, Force, Strain,

Tactile and pressure sensors. Classification of chemical sensing Mechanism, Potentiometric

sensors, Conduct metric Sensors, Amperometric Sensors, Enhanced Catalytic gas Sensors.

Optical Sensors: Optical Radiation- Electromagnetic Spectrum, Snell’s Law and Total internal

reflection, Diffraction principles, Optical Detectors and Sources-Photo diodes and transistors,

Photo-darling ton pairs, Photoconductive sensors, CCD sensors, Fiber optic sensors. Solid state

light sources- LED , Diode lasers, Semiconductor laser optical cavity resonator. Bio sensors

Origin and Transmission of bioelectrical Signals, The Electromyogram (EMG) & the

Electrocardiogram (ECG) The Electroencephalogram (EEG) & Blood pressure measurement,

Catalytic biosensors, mono-enzyme electrodes, bi-enzyme electrodes. cell based biosensors,

biochips and biosensor arrays, problems and limitations.

Text books:

1. Biosensor Principles and Applications, Edited by Loïc J.Blum, Pierre R. Coulet Agarwal,

Govind P, “fiber Optic Communication Systems”, 2nd edition, Wiley, NewYork,1997

2. Principles of Biochemistry Albert L.Lehninger, David Lee Nelson,Michael M. 2005, Fourth

Edition.

3. Sensors and Transducers D. Patranabis Prentice-Hall of India Pvt.Ltd August 15, 2004

4.Jacob Fraden, “ Hand Book of Modern Sensors: physics, Designs and

Applications”,3rded.,Springer,2003.

FUNDAMENTALS OF IOT

Course code : 17 EM 3254 L – T – P : 3 – 0 - 0

Pre Requisite :17EM3102 Credits : 3

Mapping of course outcomes with student outcomes:

C.O.

No. Course outcome

Mapped

PO

BTL

1 Understand the basic concepts of IOTs & some related issues of IOTs PO7,PSO1 2

2 Understand the Issues of Security, standards and Protocol Convergences with

IOTs & Vision over M2M Vs. IOTs

PO7,PSO1 2

3 Understand the Architectural overview, Reference Models based Architecture of

IOTs

PO7,PSO1 2

4 Analyze the IOT Smart Applications and Cloud support for IOT PO7,PSO1 4

-Introduction- The IOT Today & Progression to Tomorrow – Success Factors –Vision –

Strategic Research & Innovation Directions. IOT and Related Issues - IOTs & Related Future

Internet Technologies – Networks & Communication – Processes & Data Management -

Security, Privacy & Trust - Standardization - Protocol Convergence M2M To IOT -M2M Vs

IOT – A vision from M2M to IOT - M2M to IOT: An Architectural Overview. Reference

Model and IOT Architecture - Architecture Reference Model – IOT Reference Architecture

IOT Applications , Cloud Service Management and IOT - IOT Smart Applications -

Connecting IOT to cloud – Cloud Storage for Iot – Data Analytics for IoT – Software &

Management Tools for IOT.

TEXT BOOKS:

1. Ovidiu Vermesan, Peter Friess, “Internet of Things – From Research & Innovation to

Market Deployment”, River Publishers, 2014

2. Jan Ho¨ ller ,Vlasios Tsiatsis,Catherine Mulligan,Stamatis Karnouskos, Stefan Avesand,

David Boyle, “From Machine-to-Machine to the Internet of Things: Introduction to

a New Age of Intelligence”, Elsevier Ltd, 2014

REFERENCE BOOKS:

1. Arshdeep Bahga, Vijay Madisetti, “Internet of Things – A hands-on approach”,

Universities Press, 2015.

2. Manoel Carlos Ramon, “Intel® Galileo and Intel® Galileo Gen 2: API Features and

Arduino Projects for Linux Programmers”, Apress, 2014.

3. Marco Schwartz, “Internet of Things with the Arduino Yun”, Packt Publishing, 2014

CYBER SECURITY STREAM

FUNDAMENTALS OF CYBER SECURITY

Course code :17EM3255 L – T – P: 3-0-0

Pre Requisite : 17CS3002 Credits : 3

Mapping of course outcomes with student outcomes:

C.O.

No. Course outcome Mapped PO

BTL

CO1 Understand the need for cyber security and analyze the risk

involved PO4,PSO2 2

CO2 Analyze various types of security threats and electronic payment

systems PO4,PSO2 4

CO3 Analyze the security issues involved in developing secure information

systems PO4,PSO2 4

CO4 Analyze the security policies standards and cyber laws PO4,PSO2 4

Introduction to information systems, Types of information Systems, Development of Information

Systems, Introduction to information security, Need for Information security, Threats to

Information Systems, Information Assurance, Cyber Security, and Security Risk Analysis.

Application security (Database, E-mail and Internet), Data Security Considerations-Backups,

Archival Storage and Disposal of Data, Security Technology-Firewall and VPNs, Intrusion

Detection, Access Control. Security Threats -Viruses, Worms, Trojan Horse, Bombs, Trapdoors,

Spoofs, E-mail viruses, Macro viruses, Malicious Software, Network and Denial of Services

Attack, Security Threats to E-Commerce Electronic Payment System, e- Cash, Credit/Debit

Cards. Digital Signature, public Key Cryptography.

Developing Secure Information Systems, Application Development Security, Information

Security Governance & Risk Management, Security Architecture & Design Security Issues in

Hardware, Data Storage & Downloadable Devices, Physical Security of IT Assets, Access

Control, CCTV and intrusion Detection Systems, Backup Security Measures.

Security Policies, Why Policies should be developed, WWW policies, Email Security policies,

Policy Review Process-Corporate policies-Sample Security Policies, Publishing and Notification

Requirement of the Policies. Information Security Standards-ISO, IT Act, Copyright Act, Patent

Law, IPR. Cyber Laws in India; IT Act 2000 Provisions, Intellectual Property Law: Copy Right

Law, Software License, Semiconductor Law and Patent Law.

Text Books :

1. Charles P. Pfleeger, Shari Lawerance Pfleeger, “Analysing Computer Security ”, Pearson

Education India.

2. V.K. Pachghare, “Cryptography and information Security”, PHI Learning Private Limited,

Delhi India. 3.Dr. Surya Prakash Tripathi, Ritendra Goyal, Praveen kumar Shukla ,”Introduction

to Information Security and Cyber Law” Willey Dreamtech Press.

4. Schou, Shoemaker, “ Information Assurance for the Enterprise”, Tata McGraw Hill.

5.Chander, Harish “Cyber Laws and its Protection” ,PHI.

MOBILE AND WIRELESS SECURITY

Course code :17EM4170 L – T – P: 3-0-0

Pre Requisite : 17CS3002 Credits : 3

Mapping of course outcomes with student outcomes:

C.O.

No. Course outcome Mapped PO

BTL

CO1 Analyze the Security and Privacy aspects of Mobile and

Wireless Networks PO4,PSO2 4

CO2 Understand the mobile system architectures and related security

issues PO4,PSO2 2

CO3 Analyze the security issues in wireless networks PO4,PSO2 4

CO4 Analyze RFID security and privacy issues PO4,PSO2 4

Security and Privacy for Mobile and Wireless Networks: Introduction- State of the Art- Areas for

Future Research- General Recommendation for Research. Pervasive Systems: Enhancing Trust

Negotiation with Privacy Support: Trust Negotiation- Weakness of Trust Negotiation- Extending

Trust Negotiation to Support Privacy

Mobile system architectures, Overview of mobile cellular systems, GSM and UMTS Security &

Attacks, Vulnerabilities in Cellular Services, Cellular Jamming Attacks & Mitigation, Security in

Cellular VoIP Services, Mobile application security.

Overview of Wireless security, Scanning and Enumerating 802.11 Networks, Attacking 802.11

Networks, Attacking WPA protected 802.11 Networks, Bluetooth Scanning and Reconnaissance,

Bluetooth Eavesdropping, Attacking and Exploiting Bluetooth, Zigbee Security, Zigbee Attacks

Security in Ad Hoc Wireless Networks, Network Security Requirements, Issues and Challenges

in Security Provisioning, Network Security Attacks, Key Management in Adhoc Wireless

Networks, Secure Routing in Adhoc Wireless Networks

RFID Security and privacy, RFID chips Techniques and Protocols, RFID anti-counterfeiting,

Man-in-the-middle attacks on RFID systems, Digital Signature Transponder, Combining Physics

and Cryptography to Enhance Privacy in RFID Systems, Scalability Issues in Large-Scale

Applications, An Efficient and Secure RFID Security Method with Ownership Transfer, Policy-

based Dynamic Privacy Protection Framework leveraging Globally Mobile RFIDs, User-Centric

Security for RFID based Distributed Systems, Optimizing RFID protocols for Low Information

Leakage, RFID: an anti-counterfeiting tool.

TEXT BOOKS

1.Kia Makki, Peter Reiher, “Mobile and Wireless Network Security and Privacy “, Springer,

ISBN 978-0-387-71057-0, 2007.

2. C. Siva Ram Murthy, B.S. Manoj, “Adhoc Wireless Networks Architectures and Protocols”,

Prentice Hall, x ISBN 9788131706885, 2007.

3. NoureddineBoudriga, ”Security of Mobile Communications”, ISBN 9780849379413, 2010.

4. Kitsos, Paris; Zhang, Yan , “RFID Security Techniques, Protocols and System-On-Chip

Design “, ISBN 978-0-387-76481-8, 2008.

5. Johny Cache, Joshua Wright and Vincent Liu,” Hacking Wireless Exposed: Wireless Security

Secrets & Solutions “, second edition, McGraw Hill, ISBN: 978-0-07-166662-6, 2010.

EMBEDDED SECURITY

Course code :17EM4173 L – T – P: 3-0-0

Pre Requisite :17EM3102 Credits : 3

Mapping of course outcomes with student outcomes:

C.O.

No. Course outcome Mapped PO

BTL

CO1 Analyze the building blocks of embedded security applications PO4,PSO2 4

CO2 Analyze the security requirements ,attacks and privacy solutions of

embedded systems PO4,PSO2 4

CO3 Analyze the hardware based content protection mechanisms PO4,PSO2 4

CO4 Analyze the basic utilities of embedded security PO4,PSO2 4

Security Development Life cycle, CVSS and its limitations. intel Embedded Solutions: from

Management to Security Management .Engine : Overview, Platform and System Management,

Intel AMT Overview,The Engine’s Evolvement: from Management to Security, Security

Applications at a Glance: EPID, PAVP, IPT and Boot Guard; Virtual Security Core: ARM Trust

zone: secure and non-secure modes, memory isolation, bus isolation, physical verses virtual

isolation . Management Engine vs. Intel AMT,Intel AMT vs. Intel vPro Technology. Building

blocks of the security and the management engine: Random number generation, Message

Authentication, RSA, Digital Signature, Secure storage,debugging.

Engine :Safeguarding itself Access to host memory, Security Requirements, Threat Analysis and

Mitigation, Published Attacks: Introducing Ring-3 Rootkits.Intel’s Enhanced Privacy

Identification (EPID): Redefining Privacy for the Mobile Age, Processor Serial Number, EPID,

Sign and Message Authentication(SIGMA)), Implementation of EPID, Applications of EPID,

Next generation of EPID

Hardware-Based Content Protection Technology Introduction, Rights protections, Digital rights

management (DRM), End-to-End Content Protection, Intel’s Hardware-Based Content

Protection, Intel Wireless Display, HDCP, Content Protection on TrustZone; Dynamically

Loaded Applications:Closed-Door Model, Dynamic Application Loader (DAL) Overview, DAL

Architecture, DAl Security Considerations.

Embedded Technology: Identity Protection Technology Isolated Computing Environment,

Security-Hardening Measures, Basic Utilities of embedded security, Anonymous Authentication

and Secure Session Establishment, Protected Input and Output, Dynamic Application

Loader(DAL), Summary of Firmware Ingredients, Software Guard Extensions.

Text Books

1. Xiaoyu Ruan, Platform Embedded Security Technology Revealed, APress Open, 2014

ISBN 978-1-4302-6571-9. ebook: Platform Embedded Security Technology Revealed pdf

Reference Books:

Sl.No. Reference Books

1. Edward Lee, Sanjit Seshia, Introduction to Embedded Systems: A Cyber physical Systems

Approach, ISBN 978-0-557-70857-4

COMPUTER FORENSICS

Course code :17EM4171 L – T – P: 3-0-0

Pre Requisite : 17CS3002 Credits : 3

Mapping of course outcomes with student outcomes:

C.O.

No. Course outcome Mapped PO

BTL

CO1 Understand the principles and methodologies of digital forensics PO4,PSO2 1

CO2 Analyze the techniques involveved in data acquisitions and

duplication PO4,PSO2 4

CO3 Analyze the vulnerabilities in routers PO4,PSO2 4

CO4 Understand the basics of forensics acquisistion PO4,PSO2 1

History of Forensics – Computer Forensic Flaws and Risks – Rules of Computer Forensics –

Legal issues – Digital Forensic Principles – Digital Environments – Digital Forensic

Methodologies. Live forensics and investigation –digital evidence – seizure methodology factors

limiting the whole sale seizure of hardware- Demystifying computer/ cyber crime – explosion of

networking – explosion of wireless networks – interpersonal communication.

Recovering deleted files and deleted partitions – deleted file recovery tools – deleted partitioned

recovery tools – data acquisition and duplication – data acquisition tools – hardware tools –

backing up and duplicating data.

An overview of Routers – Hacking Routers – Investigating Routers – Investigating Wireless

Attacks – Basics of wireless – Wireless Penetration Testing – Direct Connections to Wireless

Access Point – Wireless Connect to a Wireless Access Point.

Forensics Acquisition – Processing Local mail archives – Processing server level archives –

classification of steganography – categories of steganography in Forensics – Types of password

cracking.

TEXT BOOKS

1. Anthony Reyes, Jack Wiles, “Cybercrime and Digital Forenscis”, Syngress Publishers,

Elsevier 2007.

2. John Sammons, “The Basics of Digital Forensics”, Elsevier 2012

3. Linda Volonins, Reynalds Anzaldua, “Computer Forensics for dummies”, Wiley Publishing

2008.

RISK MANAGEMENT AND SECURITY AUDIT

Course code :17EM4172 L – T – P: 3-0-0

Pre Requisite : 17CS3002 Credits : 3

Mapping of course outcomes with student outcomes:

C.O.

No. Course outcome Mapped PO

BTL

CO1 Understand the importance of information security risk assessment

and data collection mechanisms PO4,PSO2 1

CO2 Compile the risk score base don observations PO4,PSO2 2

CO3 Analzye the risk priority and its consequences PO4,PSO2 4

CO4 Perform Audit and follow up activities PO4,PSO2 3

what is Risk? –Information Security Risk Assessment Overview- Drivers, Laws and

Regulations- Risk Assessment Frame work – Practical Approach. The Sponsors- The Project

Team- Data Collection Mechanisms- Executive Interviews- Document Requests- IT Assets

Inventories- Profile & Control SurveyConsolidation. Compiling Observations- Preparation of

catalogs- System Risk ComputationImpact Analysis Scheme- Final Risk Score. System Risk

Analysis- Risk Prioritization- System Specific Risk Treatment- Issue Registers- Methodology-

Result- Risk Registers- Post Mortem. Pre-planning audit- Audit Risk Assessment- Performing

Audit- Internal ControlsAudit Evidence- Audit Testing- Audit Finding- Follow-up activities.

TEXT BOOKS

1. Mark Talabis, “Information Security Risk Assessment Toolkit: Practical Assessments

through Data Collection and Data Analysis”, Syngress; 1 edition, ISBN: 978-1-59749-735-0,

2012.

2. David L. Cannon, “CISA Certified Information Systems Auditor Study Guide”, John

Wiley & Sons, ISBN: 978-0-470-23152-4, 2009.

OPEN ELECTIVES

E-COMMERCE

Course Code : 17 EM 30B2 L-T-P 3-0-0

Prerequisite: Nil Credits: 3

Mapping of Course out comes with student out comes:

CO No. Course outcome Mapped PO BTL

CO1 Analyze various E-Commerce Business Models and

Infrastructure

PO7 4

CO2 Understand the Ethical, Social and Political issues in E-

Commerce

PO8 1

CO3 Analyze Marketing communications and Internet

resources for E-Commerce

PO5 4

Co4 Analyze the internet applications for commerce PO5 4

SYLLABUS

Electronic Commerce: Revolution. E-Commerce Business models and concepts: The Internet

and World Wide Web: E-commerce infrastructure. Building an E-commerce web site, online

Security and payment systems, E-Commerce Marketing concepts, , Ethical, Social and Political

issues in E-Commerce, Retailing on the Web, Online Service industries, B2B E-Commerce:

Supply chain management and collaborative commerce. E-Commerce Marketing

communications, Internet Resources for Commerce: Technologies for Web Servers, Internet

Applications for commerce, Internet Charges, Internet Access and Architecture, Searching the

Internet

Text Books:

1. Kenneth C.Laudon, Carol G.Traver , E-Commerce, (Pearson Education)

Reference Books:

1. Daniel Minoli,Emma Minoli,’Web Commerce Technology Handbook’,(TMG)

2. Elias M.Awad’Electronic Commerce’(PHI)

INTERNET OF THINGS

Course code :17EM30B1 L – T – P: 3-0-0

Pre Requisite :NIL Credits : 3

Mapping of course outcomes with student outcomes:

C.O.

No. Course outcome Mapped PO

BTL

CO1 Understand the paradigm shift from M2M to IOT PO7 1

CO2 Understand the fundamentals of IOT Technology PO7 1

CO3 Understand the architecture of IOT PO7 1

CO4 Understand the reference architecture of IOT PO7 1

M2M to IoT-The Vision-Introduction, From M2M to IoT, M2M towards IoT-the global context,

A use case example, Differing Characteristics.

M2M to IoT – A Market Perspective– Introduction, Some Definitions, M2M Value Chains,

IoT Value Chains, An emerging industrial structure for IoT, The international driven global

value chain and global information monopolies. M2M to IoT-An Architectural Overview–

Building an architecture, Main design principles and needed capabilities, An IoT architecture

outline, standards considerations.M2M and IoT Technology Fundamentals- Devices and

gateways, Local and wide area networking, Data management, Business processes in IoT,

Everything as a Service(XaaS), M2M and IoT Analytics, Knowledge Management.IoT

Architecture-State of the Art – Introduction, State of the art, Architecture Reference Model-

Introduction, Reference Model and architecture, IoT reference Model

IoT Reference Architecture- Introduction, Functional View, Information View, Deployment

and Operational View, Other Relevant architectural views.

Textbook: Jan Holler, Vlasios Tsiatsis, Catherine Mulligan, Stefan Avesand, Stamatis Karnouskos, David

Boyle, “From Machine-to-Machine to the Internet of Things: Introduction to a New Age

of Intelligence”, 1st Edition, Academic Press, 2014.

Reference Books: Vijay Madisetti and Arshdeep Bahga, “Internet of Things (A Hands-on-

Approach)”, 1stEdition, VPT, 2014.

Francis daCosta, “Rethinking the Internet of Things: A Scalable Approach to Connecting

Everything”, 1st Edition, Apress Publications, 2013.

ELECTRONICS & COMPUTER SCIENCE ENGINEERING

B.TECH HONORS DEGREE SYLLABUS

SNO COURSE CODE

COURSE NAME L-T-P CREDITS

17EM5001 MICRO CONTROLLERS FOR EMBEDDED SYSTEM DESIGN

3-0-2 4

17EM5002 REAL TIME CONCEPTS FOR EMBEDDED SYSTEMS

3-1-0 4

17EM5003 DIGITAL SIGNAL PROCESSORS AND ARCHITECTURES

3-1-0 4

17EM5004 SENSORS AND SENSING PRINCIPLES

3-1-0 4

17EM5005 COMMUNICATION PROTOCOLS AND STANDARDS

3-1-0 4

MICRO CONTROLLERS FOR EMBEDDED SYSTEM DESIGN

COURSE CODE: 17EM5001 L – T – P: 3-0-2 PRE-REQUISITE: NIL CREDITS: 4 Introduction to Embedded Systems Overview of Embedded Systems, Processor Embedded into a system, Embedded Hardware Units and Devices in system, Embedded Software, Complex System Design, Design Process in Embedded System, Formalization of System Design, Classification of Embedded Systems. Microcontrollers and Processor Architecture & Interfacing 8051 Architecture. Real world interfacing, Introduction to advanced architectures, processor & memory organization, Instruction-level parallelism, and performance metrics. PIC Microcontroller Hardware Introduction, Architectural overview, Memory organization, interrupts and reset, I/O ports, Timers Device Drivers & Interrupt service Mechanism Programmed-I/O Busy-wait approach without ISM,ISR concept, Interrupt sources, Interrupt service mechanism, Multiple Interrupts, context and the periods for context switching, Interrupt latency and deadline, Classification of processors ISM from context-saving angle, Direct Memory Access, Device driver programming Devices &Communication Buses for Devices Network IO Types and examples, Serial communication Devices, Parallel Device ports, Networked Embedded systems, Serial Bus communication protocols Text Books: 1. Embedded Systems - Architecture Programming and Design – Raj Kamal, 2nd ed., 2008, TMH. 2. Embedded C Programming and the Microchip PIC-Richard Barnett, O” Cull, Cox, 2009,Cengage Learning. Reference Books: 1. Embedded Microcomputer Systems, Real Time Interfacing – Jonathan W. Valvano – Brookes Cole, 1999, Thomas Learning

REAL TIME CONCEPTS FOR EMBEDDED SYSTEMS COURSE CODE : 17EM-502 L – T – P: 3-1-0 PRE-REQUISITE: NIL CREDITS: 4

Introduction: Examples of Embedded Systems, Definition of Embedded Systems, Architecture of Embedded Systems, Real- Time Embedded Systems , Design Issues and Current Trends for Embedded Systems Hard versus soft Real- Time Systems: Jobs and Processes, Release Times, Deadlines and Timing Constraints, Hard and Soft Timing Constraints, Hard Real Time Systems, Soft Real Time Systems A Reference Model of Real – Time Systems: Processors and Resources, Temporal Parameters of Real Time Workload, Periodic Task Model, Precedence Constraints and Data Dependency, Functional Parameters- preemptivity of jobs, criticality of jobs, Resource Parameters of Jobs and Parameters of Resources, Scheduling Hierarchy- Scheduler and Schedules, Feasibility, Optimality and Performance Measures. Classification of Real Time Scheduling Approaches: Clock- Driven Approach, Weighted Round-Robin Approach, Priority- Driven Approach, Dynamic versus Static Systems, Effective Release Times and Deadlines, optimality of the EDF and LST algorithms, Non optimality of the EDF and LST algorithms, Challenges in validating timing constraints in priority –driven systems Off-line versus On-line Scheduling Clock-Driven Scheduling : Notations and Assumptions, Static, Timer -Driven Scheduler, General Structure of Cyclic Schedules, Cyclic Executives, Improving the Average Response Time of Aperiodic Jobs, Scheduling Sporadic Jobs-Acceptance test ,EDF Scheduling of accepted jobs and implementation, Pros and Cons of Clock Driven Scheduling, Priority-Driven Scheduling of Periodic Tasks: Static Assumption, Fixed Priority v/s Dynamic Priority Algorithms, schedulability test for the EDF algorithm, a schedulability test for fixed priority tasks with short response times-time demand analysis, schedulability test for fixed priority tasks with arbitrary response times: busy intervals, general schedulability test, sufficient schedulability conditions for RM & DM algorithms: schedulable utilization of the RM algorithm for tasks with Di=pi, schedulable utilization of fixed priority tasks with arbitrary relative deadlines Scheduling Aperiodic and Sporadic Jobs in Priority-Driven Systems: Assumptions and Approaches, Deferrable Servers- Operations of Deferrable Servers, Constant utilization server Scheduling of sporadic jobs-a simple acceptance test in deadline driven systems, a simple acceptance test in fixed- priority driven systems Resources and Resource Access control: Assumptions on Resources and Their Usage, Effects of Resource Contention and Resource Access Control, Non-preemptive Critical Sections, Basic Priority Inheritance Protocol, Basic Priority Ceiling Protocol- Definition, computation of blocking time, controlling accesses to Multiple Unit Resources Real-Time Operating Systems: Overview- Threads and Tasks, The Kernel, Time Services and Scheduling Mechanisms- Time Services, Scheduling Mechanisms, Other Basic Operating System Functions- Communication and Synchronization, Event Notification and Software Interrupt, Memory Management, I/O and Networking TEXT BOOKS: 1. Real Time Systems – By Jane W.S.Liu -Low Price Edition , Pearson Education Asia 2. Real-Time Concepts for Embedded Systems - Qing Li with Caroline Yao published by CMP Books.

DIGITAL SIGNAL PROCESSORS AND ARCHITECTURES COURSE CODE: 17EM 503 L – T – P: 3-1-0 PRE-REQUISITE: NIL CREDITS: 4

Introduction To Digital Signal Processing: Introduction, A Digital signal-processing system, The sampling process, Discrete time sequences. DiscreteFourier Transform (DFT) and Fast Fourier Transform (FFT), linear time-invariant systems, Digital filters, Decimation and interpolation. Computational Accuracy in DSP Implementations: Number formats for signals and coefficients in DSP systems, Dynamic Range and Precision, Sources of errorin DSP implementations, A/D Conversion errors, DSP Computational errors, D/A Conversion Errors, Compensating filter. Architectures for Programmable DSP Devices: Basic Architectural features, DSP Computational Building Blocks, Bus Architecture and Memory, Data Addressing Capabilities, Address Generation Unit, Programmability and Program Execution, Speed Issues, Features for External interfacing. Programmable Digital Signal Processors: Commercial Digital signal-processing Devices, Data Addressing modes of TMS320C54XX DSPs, Data Addressing modes of TMS320C54XX Processors, Memory space of TMS320C54XX Processors, Program Control, TMS320C54XX instructions and Programming, On-Chip Peripherals, Interrupts of TMS320C54XX processors, Pipeline Operation of TMS320C54XX Processors. Analog Devices Family of DSP Devices: Analog Devices Family of DSP Devices- ALU and MAC block diagram, Shifter Instruction, Base Architecture of ADSP2100, ADSP-2181 high performance Processor. Introduction to Blackfin Processor – The Blackfin Processor, Introduction to Micro Signal Architecture, Overview of Hardware Processing Units and Register files, Address Arithmetic Unit, Control Unit, Bus Architecture and Memory, Basic Peripherals. Interfacing Memory And I/O Peripherals To Programmable DSP Devices: Memory space organization, External bus interfacing signals, Memory interface, Parallel I/O interface, Programmed I/O, Interrupts and I/O, Direct memory access (DMA). Text Books 1. Digital Signal Processing – Avtar Singh and S. Srinivasan, Thomson Publications, 2004. 2. A Practical Approach to Digital Signal Processing – K Padmanabhan, R. Vijayarajeswaran, Ananthi.S, New Age International, 2006/2009. 3. Embedded Signal Processing with the Micro Signal Architecture Publisher: Woon-Seng Gan, Sen M. Kuo, Wiley-IEEE Press, 2007. References 1. Digital Signal Processors, Architecture, Programming and Applications – B. Venkataramani and M. Bhaskar, 2002, TMH. 2. Digital Signal Processing – Jonatham Stein, 2005, John Wiley. 3. DSP Processor Fundamentals, Architecture & Features- Lapsley et al. 2000, S. Chand & Co. 4. Digital Signal Processing Applications Using the ADSP-2100 Family by The Applications Enguneering Staff of Analog Devices, DSP Division, Edited by Amy Mar, PHI. 5. The Scientist and Engineering’s Guide to Digital Signal Processing by Steven W. Smith, Ph.D., California Technical Publishing, ISBN 0-9660176-3-3, 1997. 6. Embedded Media Processing by David J. Katz and Rick Gentile of Analog Devices, Newnes, ISBN 0750679123, 2005.

SENSORS AND SENSING PRINCIPLES

COURSE CODE: 17EM504 L – T – P: 3-1-0 PRE-REQUISITE: NIL CREDITS: 4 Sensor Fundamentals:

Basic sensor technology -sensor characteristics –static and dynamic –Principles of sensingcapacitance- magnetic and electromagnetic induction –resistance piezoelectric effect – Pyroelectric effect -Hall effect- See beck and Pettier effect-heat transfer-light. Sensor Characteristics: Analysis of experimental data: causes and types of experimental errors – statistical analysis of experimental data –method of least squares –correlation coefficient, multivariable regression – graphical analysis and curve fitting. Physical /Chemical sensors: Position, Displacement and Level sensors, Velocity and Acceleration sensors,Force, Strain, Tactile and pressure sensors. Classification of chemical sensing Mechanism, Potentiometric sensors, Conduct metric Sensors, Amperometric Sensors, Enhanced Catalytic gas Sensors. Optical Sensors: Optical Radiation- Electromagnetic Spectrum, Snell’s Law and Total internal reflection, Diffraction principles, Optical Detectors and Sources-Photo diodes and transistors, Photo-darling ton pairs, Photoconductive sensors, CCD sensors, Fiber optic sensors. Solid state light sources- LED , Diode lasers, Semiconductor laser optical cavity resonator. Bio sensors Origin and Transmission of bioelectrical Signals, The Electromyogram (EMG) & the Electrocardiogram (ECG) The Electroencephalogram (EEG) & Blood pressure measurement, Catalytic biosensors, mono-enzyme electrodes, bi-enzyme electrodes. cell based biosensors, biochips and biosensor arrays, problems and limitations. Text books: 1. Biosensor Principles and Applications, Edited by Loïc J.Blum, Pierre R. Coulet Agarwal, Govind P, “fiber Optic Communication Systems”, 2nd edition, Wiley, NewYork,1997 2. Principles of Biochemistry Albert L.Lehninger, David Lee Nelson,Michael M. 2005, Fourth Edition. 3. Sensors and Transducers D. Patranabis Prentice-Hall of India Pvt.Ltd August 15, 2004 4. Jacob Fraden, “ Hand Book of Modern Sensors: physics, Designs and Applications”, 3rd ed.,Springer, 2003.

COMMUNICATION PROTOCOLS AND STANDARDS COURSE CODE: 17EM505 L – T – P: 3-1-0 PRE-REQUISITE: NIL CREDITS: 4 Networks in process automation Networks in process automation: Information flow requirements, Hierarchical communication model, Data Communication basics, OSI reference model, Industry Network, Network Topologies. Communication Protocols: Communication Protocols: Communication Basics, Basics, Network Classification, Device Networks, Control Networks, Enterprise Networking, Network selection. Proprietary and open networks: Network Architectures, Building blocks Wired Communication: Wired: Wired Communication: Industry open protocols (RS-232C, RS- 422, RS-485), CAN bus, I2C, SPI, Ethernet,USB ,OFC, Modbus, Modbus Plus, Data Highway Plus, Advantages and Limitations of Open networks. Fieldbus Trends Fieldbus: Fieldbus Trends, Hardware selection, Fieldbus design, Installation, Documentation,Fieldbus advantages and limitations, Automotive Most bus, Hot standby router

protocol(HSRP) and Hot 255 modem, Dial up modem, Physical media -Cabling types and noise level conditions, leased line modems. WPAN Wireless: WPAN, Wi-Fi, Bluetooth, Zig-Bee, Z-wave, GPRS, GSM. Infrared communication: Routers, Hubs, Bridges, Ethernet switches, Different type of converters - Serial to Ethernet, Ethernet to OFC, Serial to OFC, RS232 to RS485 Text Books: 1. TCIP/IP protocol suite , Behrouz A. Forouzen, III Edition 2. Data communications, computer networks, open systems, Prakash C. Guptha, V Edition

ELECTRONICS AND COMPUTER SCIENCE ENGINEERING

MINOR DEGREE IN INTERNET OF THINGS

SNO COURSE CODE COURSE NAME LTP CREDITS

1 17EM6001 PRINCIPLES OF MICRO COMPUTER AND INTERFACES

3-0-0 3

2 17EM6002 EMBEDDED SYSTEMS DESIGN USING FPGA & VERILOG

3-0-0 3

3 17EM6003 MACHINE-TO-MACHINE COMMUNICATIONS

3-0-0 3

4 17EM6004 RFID AND SENSOR NETWORKS

3-0-0 3

5 17EM6005 THE CLOUD OF THINGS

3-0-0 3

PRINCIPLES OF MICRO COMPUTER AND INTERFACES Course code : 17EM6001 L – T – P : 3-0-0 Pre Requisite :NIL Credits :3 Mapping of course outcomes with student outcomes:

C.O. No. Course outcome Mapped PO BTL

CO1 Understand transducers and 8086 processor 7,12 2

CO2 Understand signal processing and memory interfacing 7,12 2

CO3 Understand bus interfacing &Apply interfacing to the PC with keyboard, printer, motor using serial data communications

7,12 2

Syllabus: Transducers: Transducers, Measurement systems, Temperature, Light, Position and motion, Force, pressure and flow. Interfacing: Interfacing, Number systems, Computer architecture, Assembly language, Interfacing, A to D and D to A conversions, Data communications, Programmable logic controllers, Data acquisition project, 8086 assembly language programming. Signal processing: Signal processing, Transfer function, Active filters, Instrumentation amplifier, Noise, Digital signal processing. Memory and Memory interfacing: Semiconductor memory fundamentals, Memory address decoding, IBM PC Memory map, Data Integrity in RAM and ROM, 16-bit memory interfacing, ISA Bus memory interfacing,

I/O AND THE 8255; ISA BUS INTERFACING: 8088 I/O Instructions, I/O Address decoding and design, I/O Address Map of X86 PCS, 8255 PPI Chip, PC Interface Trainer And Bus Extender 325, I/O Programming with c/c++ and VB, 8-Bit And 16-Bit I/O Timing in ISA BUS. Interfacing to the PC: LCD,MOTOR,ADC AND SENSOR: Interfacing an LCD to the PC, Interfacing a stepper motor to a PC, Interfacing DAC to a PC, Interfacing ADC And Sensors to the PC. Serial data communication and the chips: Basics of serial communication, Accessing IBM pC com ports using DOS And BIOS, Interfacing the NS8250/16450 UART in the IBM PC, Intel 8251 USART And Synchronous Communication, Keyboard And Printer Interfacing: Interfacing Keyboard to the cpu, PC Keyboard Interfacing And Programming, Printer And Printer Interfacing The IBM PC, Bidirectional Data Bus in Parallel ports, ISA, EISA, MCA, LOCAL AND PCI BUS: ISA,EISA,AND IBM Micro Channel, VL Bus And PCI Local Buses, Textbook:- 1. A.C.Fischer-Cripps,Newnes Interfacing Companion,science direct,2002. 2.The 80x86 IBM PC and Compatible Computers(volumes I&II),Assembly language,Design,and Interfacing,4th edition,Muhammad ali mazidi,Janice gillispie mazidi.2006. Reference text books: 1. Toward Brain-computer Interfacing, Guido Dornhege, MIT Press, 2007. 2. A Friendly Guide to Computer Interfacing and LabVIEW Programming,John K. Eaton, Eaton, Oxford University Press, 1995. EMBEDDED SYSTEMS DESIGN USING FPGA & VERILOG Course code : 17EM6002 L– T – P :3-0-0 Pre Requisite :NIL Credits :3 Mapping of course outcomes with student outcomes:

C.O. No. Course outcome MAPPED PO BTL

CO1 Ability to use high-level hardware description languages such as Verilog for the design of ES

5,7,12 3

CO2 Understand system and spatial design 5,7,12 2

CO3 Understand and managing band width & Blocking versus non blocking assignment in verilog

5,7,12 2

Syllabus: Introduction: Embedded Systems, Design Challenges, Platform FPGAs, Spectrometer Example, Introducing the Platform FPGA Tool Chain. The Target: CMOS Transistor, Programmable Logic Devices, Field-Programmable Gate Array, Hardware Description Languages, From HDL to Configuration Bitstream, Xilinx Virtex 5, Xilinx Integrated Software Environment, Creating and Generating Custom IP. System Design: Principles of System Design, Control Flow Graph , Hardware Design, Software Design, Platform FPGA Architecture Design, Embedded GNU/Linux System. Partitioning: Overview of Partitioning Problem, Analytical Solution to Partitioning, Communication, Practical Issues, Profiling with Gprof , Linux Kernel. Spatial Design: Principles of Parallelism, Identifying Parallelism, Spatial Parallelism with Platform FPGAs, Useful VHDL Topics for Spatial Design, Debugging Platform FPGA Designs.Managing Bandwidth: Balancing Bandwidth, Platform FPGA Bandwidth Techniques, Scalable Designs, On-Chip Memory Access, Off-Chip Memory Access.Outside World: Point-to-Point Communication, Internetworking Communication, High-Speed Serial Communication, Low-Speed Communication, Generating the Hardware Base System, Testing the Design.Selected Topics of Verilog: Blocking versus non blocking assignment, Alternative coding style for sequential circuit, Use of the signed data type, Use of function in synthesis, Additional constructs for test bench development. Text book: 1.Embedded systems design with FPGAs,principles and practices,Ron Sass and Andrew G.Schmidt.2005 2.embedded SoPC Design with NIOS II processor and verilog examples,pong p.chu(8th chapter).2005 Reference books 1. Embedded Systems Design with FPGAs by Peter Athanas, Dionisios Pnevmatikatos, Nicolas Sklavos, Springer .2006 2. Introduction to Embedded System Design Using Field Programmable Gate Arrays By Rahul Dubey, Springer .2006

3.Embedded Core Design with FPGAs, Zainalabedin Navabi, McGraw Hill Professional, 13-Sep-2006

MACHINE-TO-MACHINE COMMUNICATIONS Course code : 17EM6003 L – T – P :3-0-0 Pre Requisite :NIL Credits:3 Mapping of course outcomes with student outcomes:

C.O. No. Course outcome MAPPED PO BTL

CO1 Understand wireless technologies for the IOT 7,12 2

CO2 Design of M2M to IOT and its architectural overview 7,12 2

CO3 Understand the working principles of layers, and apply IOT to M2M to real-world problems

7,12 2

Syllabus: Layer 1/2 connectivity: wireless technologies for the iot, layer 3 connectivity: ipv6 technologies for the iot, layer 3 connectivity: mobile ipv6 technologies for the iot, ipv6 over low-power wpan (6lowpan) introduction, the internet of things global context: m2m to iot , the vision, m2m to iot ,a market perspective, m2m to iot , an architectural overview. Nuts and bolts of m2m and iot: m2m and iot technology fundamentals, iot architecture, real-world design constraints. Implementation examples: asset management, industrial automation, the smart grid, commercial building automation, smart cities, participatory sensing, conclusion and looking ahead. Textbook: 1. Daniel minoli ,Building the internet of things with ipv6 and mipv6: the evolving world of m2m communications,wiley,2013 Reference text books: 1. From Machine-to-Machine to the Internet of Things Introduction to a New Age of Intelligence, Jan Holler, Vlasios Tsiatsis,Catherine Mulligan.2012 2. The Internet of Things: Key Applications and Protocols By Olivier Hersent, David Boswarthick, Omar Elloumi, John Wiley & Sons.2012 3. Internet of Things: Converging Technologies for Smart Environments by Dr. Ovidiu Vermesan, Dr. Peter Friess, River Publishers.2013 4. Machine-to-machine (M2M) Communications: Architecture, Performance by Carles Anton-Haro, Mischa Dohler, Elsevier.2012

RFID AND SENSOR NETWORKS Course code : 17EM6004 L – T – P: 3-0-0 Pre Requisite :NIL Credits :3 Mapping of course outcomes with student outcomes:

C.O. No. Course outcome MAPPED PO BTL

CO1 Understand Medium access controls in wireless networks 7,12 2

CO2 Design routing protocols for ad hoc and wireless sensor networks with respect to some protocol design issues

7,12 2

CO3 Understand RFID and security deployment & Apply RFID and Sensor networks on Health Care systems

7,12 2

Syllabus: Medium Access Control in RFID, Anti-Collision Algorithm in RFID, Low-Power Transponders for RFID, EPCGen-2StandardforRFID, RFID Authentication and Privacy, RFID Deployment: Supply Chain Case Study, RFID Security, Geographic Routing in Wireless Sensor Networks, Medium Access Control in Wireless Sensor Networks, Localization in Wireless Sensor Networks, Data Aggregation in Wireless Sensor Networks, Clustering in Wireless Sensor Networks, Energy-Efficient Sensing in Wireless Sensor Networks, Mobility in Wireless Sensor Networks, Security in Wireless Sensor Networks, Network Management in Wireless Sensor Networks, Deployment in Wireless Sensor Networks, Integrated RFID and Sensor Networks: Architectures and Applications, Integrated RFID and Sensor Networks for Smart Homes, Integrated RFID and Sensor Networks for Health Care, Integrated RFID and Sensor Networks for Structure Monitoring

Textbooks: 1. RFID and Sensor Networks: Architectures, Protocols, Security, and Integrations

edited by Yan Zhang, Laurence T. Yang, Jiming Chen, CRC Press.,2012 References: 1.Wireless Communication in Underground Mines: RFID-based Sensor Networking By L. K. Bandyopadhyay, S. K. Chaulya, P. K. Mishra, Springer Science & Business Media. 2012 2. RFID-Enabled Sensor Design and Applications, By Amin Rida, Li Yang, Manos Tentzeris, Artech House.2012 3. RFID and the Internet of Things,Hervé Chabanne, Pascal Urien,Jean-Ferdinand Susini.2012.

THE CLOUD OF THINGS Course code : 17EM6005 L – T – P : 3-0-0 Pre Requisite :NIL Credits:3 Mapping of course outcomes with student outcomes:

C.O. No. Course outcome MAPPED PO BTL

CO1 Understand the fundamentals of Cloud Computing 7,12 2

CO2 Understand the Middle wares for Smart Objects and Smart Environments

7,12 2

CO3 Design Service-Oriented Discovery Framework for Cooperating Smart Objects & Apply cloud of things to Smart Grid Cities

7,12 2

Syllabus: Middlewares for Smart Objects and Smart Environments: Overview and Comparison, Service-Oriented Middleware for the Cooperation of Smart Objects and Web Services, A Service-Oriented Discovery Framework for Cooperating Smart Objects, Smart Manufacturing Through Cloud-Based Smart Objects and SWE The Cloud of Things Empowered Smart Grid Cities The Third ICT Wave, Ubiquitous IoT Applications, Four Pillars of IoT, the DNA of IoT MIDDLEWARE FOR IoT: Middleware and IoT, Protocol Standardization for IoT, Architecture Standardization for WoT, THE CLOUD OF THINGS: Cloud Computing. Reference books: 1. The internet things of things in the cloud a middleware perspective,honbo zhou,crc press . 2. Getting Started with the Internet of Things: Connecting Sensors and ... By Cuno Pfister, "O'Reilly Media, Inc.". 3. Distributed and Cloud Computing: From Parallel Processing to the Internet of ... By Kai Hwang, Jack Dongarra, Geoffrey C. Fox, Morgan Kaufmann. 4. Internet of Things Applications - From Research and Innovation to Market Deployment, Ovidiu Vermesan, Peter Friess,River Publishers

S.

N

O.

COUR

SE

CODE

COURSE NAME L-T-P CR PRE-

REQ.

I

HUMANITIES & SOCIAL

SCIENCES

1

17 EN

1201

Building blocks for

Communication Skills 0-0-4 2 NIL

2

17 EN

3102 Instant Communication Skills 0-0-4 2 NIL

3

17 EN

3203 Corporate Communication Skills 0-0-4 2 NIL

4

17GN10

01 Ecology and Environment 2-0-0 2 NIL

5

17GN10

02 Human Values 2-0-0 2 NIL

10

II BASIC SCIENCES

1

17 MT

1102

Foundations of Computational

Mathematics 3-0-0 3 NIL

2

17 MT

1101

Single variable calculus and

Matrix algebra 3-0-2 4 NIL

3

17 MT

1203 Multivariate Calculus 3-0-2 4 NIL

4

17MT2

006

Probability and Stochastic

Models 2-2-2 4 NIL

5

17 PH

1001 Engineering Materials 3-0-2 4 NIL

6

17 CY

1001 Engineering Chemistry 3-0-2 4 NIL

7

17 MT

1204 Logic and Reasoning 3-0-0 3 NIL

26

III

ENGINEERING SCIENCES

1

17 EM

1101

Introduction to Electronics and

Computer Science Engineering 2-0-2 3 NIL

2

17 CS

1101

Problem Solving and Computer

Programming 2-4-2 5 NIL

3

17 CS

1102 Data Structures 2-4-2 5

17CS

1101

4

17 ME

1002 Engineering Graphics 1-0-4 3 NIL

5

17 GN

1003 Basic Engineering Measurements 2-0-2 3 NIL

6

17CS20

04 Object Oriented Programming 2-2-2 4 NIL

7

17EM2

102 Signals and Systems 2-2-2 4 NIL

8

17 ME

1003 Workshop Practice 0-0-2 1 NIL

9

17CS20

05 Discrete Mathematics 3-1-0 4 NIL

10

17 ME

1001 Engineering Mechanics 3-0-2 4 NIL

36

PROFESSIONAL CORE COURSES

1 17EM2103 Computer Organization 2--2--2 4 NIL

2 17EM2204 Processors and Controllers 2--2--2 4 17EM2103

3 17EM3205 FPGA based System

Design 2--2--2 4 17EM2103

4 17EM3106 Embedded System Design 2--2--2 4 17EM2204

5 17EM2207 Electronic Devices and

Circuits 2--2--2 4 NIL

6 17EM3108 Linear Integrated Circuit

Analysis 2--2--2 4 17EM2207

7 17EM4109 Fundamentals of

Communication Systems 2--2--2 4

17EM2102

8 17CS2210 Database Management

Systems 2--2--2 4 17CS1102

9 17CS2008 Software Engineering 3--1--0 4 17CS2004

10 17CS3113 Operating Systems 2--2--2 4 17EM2103/17CS2009

11 17CS3114 Computer Networks 3--0--2 4 NIL

12 17EM3110 Internet Programming 2--2--2 4 17CS2004

13 17EM3211 Automata and Compiler

Design 2--2--2 4 17CS2001

14 17CS2211 Design and Analysis of

Algorithms 2-2--2 4 17 CS1102

15 17EM3112 Network Security 2-2--2 4 17CS3114

60

PROFESSIONAL ELECTIVES

EMBEDDED SYSTEMS

1 17EM3

251

Advanced Embedded Processor

Architecture 3--0—0 3

17EM3106

2 17EM4

154 Embedded Linux 3--0—0 3

17EM3106

3 17EM4

155 Networking of Embedded Systems 3--0—0 3

17EM3106

4 17EM4

156 System on Chip Architectures 3--0—0 3

17EM3106

5 17EM4

157 Hardware Software Co Design 3--0—0 3

17EM3106

WIRELESS SENSOR

1 17EM3

252 Sensors and Sensing Principles 3--0—0 3

17CS3114

2 17EM4

158

Wireless Communications &

Networks 3--0—0 3

17CS3114

3 17EM4

159 Wireless Sensor Networks 3--0—0 3

17CS3114

4 17EM4

160 Sensor Networks Programming 3--0—0 3

17CS3114

5 17EM4

161 Remote Sensing and GIS 3--0—0 3

17CS3114

WEB TECHNOLOGIES

1 17EM3

253 Web Services 3--0—0 3

17EM3110

2 17EM4

162 Web Semantics 3--0—0 3

17EM3110

3 17EM4

163 Enterprise Programming 3--0—0 3

17EM3110

4 17EM4

164 Cloud Based Web Development 3--0—0 3

17EM3110

5 17EM4

165 Web Analytics 3--0—0 3

17EM3110

INTERNET OF THINGS

1 17EM3

254

Fundamentals of Internet of

Things 3-0-0 3

17EM3106

2 17EM3

252 Sensors and sensing principles 3-0-0 3

17CS3114

3 17EM4

159 Wireless sensor networks 3-0-0 3

17CS3114

4 17EM4

168 Wireless Technologies for IOT 3-0-0 3

17EM3106

5 17EM4

169

IOT Application Programming

Using Python 3-0-0 3

17EM3106

CYBER SECURITY

1 17EM3

255 Fundamentals of Cyber Security 3-0-0 3

17CS3114

2 17EM4

170 Mobile and Wireless Security 3-0-0 3

17CS3114

3 17EM4

171 Computer Forensics 3-0-0 3

17CS3114

4 17EM4 Risk Assessment and Security 3-0-0 3 17CS3114

LIST OF OPEN ELECTIVES

1 17EM30B1 Internet of things 3-0-0 3 NIL

2 17EM30B2 E-Commerce 3-0-0 3 NIL

6

LIST OF MANAGEMENT ELECTIVES

1 17 MB 3051 Paradigms in Management thought 3-0-0 3 NIL

2 17 MB 3052 Indian Economy 3-0-0 3 NIL

3 17 MB 3053 Managing Personal Finances 3-0-0 3 NIL

4 17 MB 3054 Basics of Marketing for Engineers 3-0-0 3 NIL

5 17 MB 3055 Organization Management 3-0-0 3 NIL

6 17 MB 3056 Resources Safety and Quality Management 3-0-0 3 NIL

3

LIST OF FOREIGN LANGUAGES

1 17 GN 3051 Arabic 3-0-0 3 NIL

2 17 GN 3052 Bengali 3-0-0 3 NIL

3 17 GN 3053 Chinese 3-0-0 3 NIL

4 17 GN 3054 French 3-0-0 3 NIL

5 17 GN 3055 German 3-0-0 3 NIL

6 17 GN 3056 Hindi 3-0-0 3 NIL

7 17 GN 3057 Italian 3-0-0 3 NIL

8 17 GN 3058 Japanese 3-0-0 3 NIL

9 17 GN 3059 Kannada 3-0-0 3 NIL

10 17 GN 3060 Russian 3-0-0 3 NIL

11 17 GN 3061 Simhali 3-0-0 3 NIL

12 17 GN 3062 Spanish 3-0-0 3 NIL

13 17 GN 3063 Tamil 3-0-0 3 NIL

14 17 GN 3064 Urdu 3-0-0 3 NIL

3

TERM PAPER & PROJECT

1 17IE3247 Term Paper 0-0-4 2 NIL

2 17IE4048 Minor Project 0-0-4 2 NIL

3 17IE4050 Major Project 0-0-24 12 NIL

4 17IE2246 Industrial Training 0-0-4 2 NIL

5 17IE4049 Practice School 0-0-24 12 NIL

18

172 Audit

5 17EM4

173 Embedded Security 3-0-0 3

17CS3114

15

CREDITS

HUMANITIES & SOCIAL SCIENCES 10

BASIC SCIENCES 26

ENGINEERING SCIENCES 36

Semester - I & II

S

.

N

o Code Course Title L T P

H

ou

rs

Cre

dits

S.

N

o Code Course Title L T P

H

ou

rs

Cr

edi

ts

1

17 MT

1101

Single Variable

Calculus and Matrix

Algebra 3 0 2 6 4

1

17 MT

1203

Multivariate

Calculus 3 0 2 6 4

2

17 CS

1101

Problem solving and

Computer

Programming 2 4 2 6 5

2

17 CS

1102

Data

Structures 2 4 2 6 5

3

17EM11

01

Introduction to

Electronics &

Computer

Engineering 2 0 2 2 3

3

17 EN

1201

Building blocks

for

Communication

Skills 0 0 4 4 2

4

17 MT

1102

Foundations of

Computational

Mathematics 3 0 0 4 3

4

17 PH

1001

Engineering

Materials 3 0 2 6 4

5

17 ME

1002

Engineering

Graphics 1 0 4 4 3

5 17GN

1003

Basic

Engineering

Measurements 2 0 2 2 3

6

17 CY

1001

Engineering

Chemistry 3 0 2 6 4

6

17

MT12

04

Logic &

Reasoning 3 0 0 4 3

7

17 ME

1003 Workshop Practice 0 0 2 4 1

7

17 ME

1001

Engineering

Mechanics 3 0 2 6 4

Total 32 23

Total 34 25

Semester – III

Semester – IV

S

.

N

o Code Course Title L T P

H

ou

rs

Cre

dits

S.

N

o Code Course Title L T P

H

ou

rs

Cr

edi

ts

1

17 EN

3102

Instant

Communication

Skills 0 0 4 4 2

1

17 EN

3203

Corporate

Communicatio

n Skills 0 0 4 4 2

2

17MT20

06

Probability &

Stochastic Models 2 2 2 6 4

2

17CS20

05

Discrete

Mathematics 3 1 0 6 4

3 17CS200 Object Oriented

2 2 2 6 4

3 17EM2

Electronic

Devices and 2 2 2 6 4

PROFESSIONAL CORE 60

PROFESSIONAL ELECTIVES 15

MANAGEMENT ELECTIVES 3

OPEN ELECTIVES 6

FOREIGN LANGAUGES 3

TERM PAPER,MINOR,MAJOR PROJECT/PRACTISE

SCHOOL

18

TOTAL CREDITS 177

4 Programming 207 Circuits

4

17EM21

03

Computer

Organization 2 2 2 6 4

4

17EM2

204

Processors and

Controllers 2 2 2 6 4

5

17CS20

08

Software

Engineering 3 1 0 6 4

5

17CS2

210

Database

management

systems 2 2 2 6 4

6

17EM21

02 Signals and Systems 2 2 2 6 4

6

17CS3

114

Computer

Networks 3 0 2 6 4

7

17IE22

46 Industrial

Training 0 0 0 0 2

Total 34 24

Total 34 22

Semester – V

Semester – VI

S

.

N

o Code Course Title L T P

H

ou

rs

Cre

dits

S.

N

o Code Course Title L T P

H

ou

rs

Cr

edi

ts

1

17GN10

01

Ecology and

Environment 2 0 0 2 2

1

17GN1

002 Human values 2 0 0 2 2

2

17CS31

13 Operating Systems 2 2 2 6 4

2

17CS22

11

Design and

Analysis of

algorithms 2 2 2 6 4

3

17CS31

08

Linear Integrated

Circuit Analysis 2 2 2 6 4

3

17EM3

205

FPGA Based

System Design 2 2 2 6 4

4

17EM3

106

Embedded System

Design 2 2 2 6 4

4

17EM3

211

Automata &

Compiler

Design 2 2 2 6 4

5

17CS31

12 Network Security 2 2 2 6 4

5

Professional

Elective -1 3 0 0 4 3

6

17CS31

10

Internet

Programming 2 2 2 6 4

6

Management

Elective-1 3 0 0 3 3

7

17IE32

47 TERMPAPER 0 0 4 4 2

Total 30 22

Total 31 22

Semester – VII

Semester – VIII

S

.

N

o Code Course Title L T P

H

ou

rs

Cre

dits

S.

N

o Code Course Title L T P

H

o

ur

s

Cr

edi

ts

1 Professional

Elective -2 3 0 0 4 3

1

Open Elective –

1 3 0 0 3 3

2 Professional

Elective -3 3 0 0 4 3

2

Open Elective –

2 3 0 0 3 3

3 Professional

Elective -4 3 0 0 4 3

3

17IE40

50/

17IE40

49

Major Project /

Practice School 0 0

1

6

1

6 12

4 Professional

Elective-5 3 0 0 4 3

Total

2

2 18

5

17EM41

09

Fundamentals of

Communication

Systems 2 2 2 6 4

6

17IE404

8 MINOR PROJECT 0 0 4 4 2

7 Foreign language 3 0 0 4 3

Total 30 21

Semester - I 23

Semester – II 25

Semester – III 22

Semester – IV 24

Semester – V 24

Semester – VI 22

Semester – VII 21

Semester – VIII 16

Total 177